Rank
Search your data based on concepts or visual similarity
Rank order your search results with the intuitive insights of an AI. Your model can identify concepts in your data and rank search results by how confident it is that a given concept is present.
You can even rank search results by how similar one input is to another input or region of the input model detected. The search results will return the input and also the annotation, which includes the region.
info
The initialization code used in the following examples is outlined in detail on the client installation page.
tip
You can learn how to paginate your API requests results here.
Search by Concepts
Once your images are indexed, you can search for them by concepts.
By Clarifai/main App Concepts
When you add an input, it automatically gets predictions from the models in your base workflow, which are typically models from the clarifai/main app, such as the General model. You can search by those predictions.
- Python
- JavaScript (REST)
- NodeJS
- Java
- cURL
##################################################################################
# In this section, we set the user authentication, app ID, and the concept ID we
# we want to rank by. Change these strings to run your own example.
##################################################################################
USER_ID = 'YOUR_USER_ID_HERE'
# Your PAT (Personal Access Token) can be found in the Account's Security section
PAT = 'YOUR_PAT_HERE'
APP_ID = 'YOUR_APP_ID_HERE'
# Change this to rank by a Clarifai/main concept
CONCEPT_ID = 'ai_fvlBqXZR'
##########################################################################
# YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
##########################################################################
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
channel = ClarifaiChannel.get_grpc_channel()
stub = service_pb2_grpc.V2Stub(channel)
metadata = (('authorization', 'Key ' + PAT),)
userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID) # The userDataObject is required when using a PAT
post_annotations_searches_response = stub.PostAnnotationsSearches(
service_pb2.PostAnnotationsSearchesRequest(
user_app_id=userDataObject,
searches = [
resources_pb2.Search(
query=resources_pb2.Query(
ranks=[
resources_pb2.Rank(
annotation=resources_pb2.Annotation(
data=resources_pb2.Data(
concepts=[ # You can search by multiple concepts.
resources_pb2.Concept(
id=CONCEPT_ID, # You could search by concept Name as well.
value=1 # Value of 0 will search for images that don't have the concept.
)
]
)
)
)
]
)
)
]
),
metadata=metadata
)
if post_annotations_searches_response.status.code != status_code_pb2.SUCCESS:
raise Exception("Post searches failed, status: " + post_annotations_searches_response.status.description)
print("Search result:")
for hit in post_annotations_searches_response.hits:
print("\tScore %.2f for annotation: %s off input: %s" % (hit.score, hit.annotation.id, hit.input.id))
<!--index.html file-->
<script>
/////////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the concept ID we
// we want to rank by. Change these strings to run your own example.
/////////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to rank by a Clarifai/main concept
const CONCEPT_ID = 'ai_fvlBqXZR';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const raw = JSON.stringify({
"user_app_id": {
"user_id": USER_ID,
"app_id": APP_ID
},
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"concepts": [
{
"id": CONCEPT_ID,
"value": 1
}
]
}
}
}
]
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key ' + PAT
},
body: raw
};
fetch(`https://api.clarifai.com/v2/annnotations/searches`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
</script>
//index.js file
/////////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the concept ID we
// we want to rank by. Change these strings to run your own example.
/////////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to rank by a Clarifai/main concept
const CONCEPT_ID = 'ai_fvlBqXZR';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const { ClarifaiStub, grpc } = require("clarifai-nodejs-grpc");
const stub = ClarifaiStub.grpc();
// This will be used by every Clarifai endpoint call
const metadata = new grpc.Metadata();
metadata.set("authorization", "Key " + PAT);
stub.PostAnnotationsSearches(
{
user_app_id: {
user_id: USER_ID,
app_id: APP_ID
},
searches: [
{
query: {
ranks: [
{
annotation: {
data: {
concepts: [ // You can search by multiple concepts.
{
id: CONCEPT_ID, // You could search by concept Name as well.
value: 1 // Value of 0 will search for images that don't have the concept
}
]
}
}
}
]
}
}
]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post annotations searches failed, status: " + response.status.description);
}
console.log("Search result:");
for (const hit of response.hits) {
console.log("\tScore " + hit.score + " for annotation: " + hit.annotation.id + " of input: ", hit.input.id);
}
}
);
package com.clarifai.example;
import com.clarifai.channel.ClarifaiChannel;
import com.clarifai.credentials.ClarifaiCallCredentials;
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.StatusCode;
public class ClarifaiExample {
/////////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the concept ID we
// we want to rank by. Change these strings to run your own example.
/////////////////////////////////////////////////////////////////////////////////////
static final String USER_ID = "YOUR_USER_ID_HERE";
//Your PAT (Personal Access Token) can be found in the portal under Authentication
static final String PAT = "YOUR_PAT_HERE";
static final String APP_ID = "YOUR_APP_ID_HERE";
// Change this to rank by a Clarifai/main concept
static final String CONCEPT_ID = "ai_fvlBqXZR";
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
public static void main(String[] args) {
V2Grpc.V2BlockingStub stub = V2Grpc.newBlockingStub(ClarifaiChannel.INSTANCE.getGrpcChannel())
.withCallCredentials(new ClarifaiCallCredentials(PAT));
MultiSearchResponse postAnnotationsSearchesResponse = stub.postAnnotationsSearches(
PostAnnotationsSearchesRequest.newBuilder()
.setUserAppId(UserAppIDSet.newBuilder().setUserId(USER_ID).setAppId(APP_ID))
.addSearches(
Search.newBuilder().setQuery(
Query.newBuilder().addRanks(
Rank.newBuilder().setAnnotation(
Annotation.newBuilder().setData(
Data.newBuilder().addConcepts( // You can search by multiple concepts
Concept.newBuilder()
.setId(CONCEPT_ID) // You could search by concept Name as well
.setValue(1f) // Value of 0 will search for images that don't have the concept
)
)
)
)
)
)
.build()
);
if (postAnnotationsSearchesResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post annotations searches failed, status: " + postAnnotationsSearchesResponse.getStatus());
}
System.out.println("Found inputs " + postAnnotationsSearchesResponse.getHitsCount() + ":");
for (Hit hit : postAnnotationsSearchesResponse.getHitsList()) {
System.out.printf("\tScore %.2f for annotation %s of input %s\n", hit.getScore(), hit.getAnnotation().getId(), hit.getInput().getId());
}
}
}
# Value of 0 will search for images that don't have the concept.
# Instead of "id", you can search by "name" as well.
curl -X POST "https://api.clarifai.com/v2/users/YOUR_USER_ID_HERE/apps/YOUR_APP_ID_HERE/annotations/searches" \
-H "Authorization: Key YOUR_PAT_HERE" \
-H "Content-Type: application/json" \
-d '{
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"concepts": [
{
"id":"ai_fvlBqXZR",
"value": 1
}
]
}
}
}
]
}
}
]
}'
By Custom Concepts
After you have added inputs, annotated the inputs, and tried a custom model, you can search by those concepts.
- Python
- JavaScript (REST)
- NodeJS
- Java
- cURL
########################################################################################
# In this section, we set the user authentication, app ID, and the custom concept we
# we want to rank by. Change these strings to run your own example.
########################################################################################
USER_ID = 'YOUR_USER_ID_HERE'
# Your PAT (Personal Access Token) can be found in the Account's Security section
PAT = 'YOUR_PAT_HERE'
APP_ID = 'YOUR_APP_ID_HERE'
# Change this to rank by your own custom concept
CONCEPT_ID = 'people'
##########################################################################
# YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
##########################################################################
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
channel = ClarifaiChannel.get_grpc_channel()
stub = service_pb2_grpc.V2Stub(channel)
metadata = (('authorization', 'Key ' + PAT),)
userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID) # The userDataObject is required when using a PAT
post_annotations_searches_response = stub.PostAnnotationsSearches(
service_pb2.PostAnnotationsSearchesRequest(
user_app_id=userDataObject,
searches = [
resources_pb2.Search(
query=resources_pb2.Query(
ranks=[
resources_pb2.Rank(
annotation=resources_pb2.Annotation(
data=resources_pb2.Data(
concepts=[ # You can search by multiple concepts.
resources_pb2.Concept(
id=CONCEPT_ID, # You could search by concept Name as well.
value=1 # Value of 0 will search for images that don't have the concept.
)
]
)
)
)
]
)
)
]
),
metadata=metadata
)
if post_annotations_searches_response.status.code != status_code_pb2.SUCCESS:
raise Exception("Post searches failed, status: " + post_annotations_searches_response.status.description)
print("Search result:")
for hit in post_annotations_searches_response.hits:
print("\tScore %.2f for annotation: %s off input: %s" % (hit.score, hit.annotation.id, hit.input.id))
<!--index.html file-->
<script>
////////////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the custom concept we
// we want to rank by. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to rank by your own custom concept
const CONCEPT_ID = 'people';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const raw = JSON.stringify({
"user_app_id": {
"user_id": USER_ID,
"app_id": APP_ID
},
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"concepts": [
{
"id": CONCEPT_ID,
"value": 1
}
]
}
}
}
]
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key ' + PAT
},
body: raw
};
fetch(`https://api.clarifai.com/v2/annnotations/searches`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
</script>
//index.js file
////////////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the custom concept we
// we want to rank by. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to rank by your own custom concept
const CONCEPT_ID = 'people';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const { ClarifaiStub, grpc } = require("clarifai-nodejs-grpc");
const stub = ClarifaiStub.grpc();
// This will be used by every Clarifai endpoint call
const metadata = new grpc.Metadata();
metadata.set("authorization", "Key " + PAT);
stub.PostAnnotationsSearches(
{
user_app_id: {
user_id: USER_ID,
app_id: APP_ID
},
searches: [
{
query: {
ranks: [
{
annotation: {
data: {
concepts: [ // You can search by multiple concepts.
{
id: CONCEPT_ID, // You could search by concept Name as well.
value: 1 // Value of 0 will search for images that don't have the concept
}
]
}
}
}
]
}
}
]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
console.log(response.status)
if (response.status.code !== 10000) {
throw new Error("Post annotations searches failed, status: " + response.status.description);
}
console.log("Search result:");
for (const hit of response.hits) {
console.log("\tScore " + hit.score + " for annotation: " + hit.annotation.id + " of input: ", hit.input.id);
}
}
);
package com.clarifai.example;
import com.clarifai.channel.ClarifaiChannel;
import com.clarifai.credentials.ClarifaiCallCredentials;
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.StatusCode;
public class ClarifaiExample {
////////////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the custom concept we
// we want to rank by. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////////////////////////
static final String USER_ID = "YOUR_USER_ID_HERE";
//Your PAT (Personal Access Token) can be found in the portal under Authentication
static final String PAT = "YOUR_PAT_HERE";
static final String APP_ID = "YOUR_APP_ID_HERE";
// Change this to rank by your own custom concept
static final String CONCEPT_ID = "people";
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
public static void main(String[] args) {
V2Grpc.V2BlockingStub stub = V2Grpc.newBlockingStub(ClarifaiChannel.INSTANCE.getGrpcChannel())
.withCallCredentials(new ClarifaiCallCredentials(PAT));
MultiSearchResponse postAnnotationsSearchesResponse = stub.postAnnotationsSearches(
PostAnnotationsSearchesRequest.newBuilder()
.setUserAppId(UserAppIDSet.newBuilder().setUserId(USER_ID).setAppId(APP_ID))
.addSearches(
Search.newBuilder().setQuery(
Query.newBuilder().addRanks(
Rank.newBuilder().setAnnotation(
Annotation.newBuilder().setData(
Data.newBuilder().addConcepts( // You can search by multiple concepts
Concept.newBuilder()
.setId(CONCEPT_ID) // You could search by concept Name as well
.setValue(1f) // Value of 0 will search for images that don't have the concept
)
)
)
)
)
)
.build()
);
if (postAnnotationsSearchesResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post annotations searches failed, status: " + postAnnotationsSearchesResponse.getStatus());
}
System.out.println("Found inputs " + postAnnotationsSearchesResponse.getHitsCount() + ":");
for (Hit hit : postAnnotationsSearchesResponse.getHitsList()) {
System.out.printf("\tScore %.2f for annotation %s of input %s\n", hit.getScore(), hit.getAnnotation().getId(), hit.getInput().getId());
}
}
}
# Value of 0 will search for images that don't have the concept.
# Instead of "id", you can search by "name" as well.
curl -X POST "https://api.clarifai.com/v2/users/YOUR_USER_ID_HERE/apps/YOUR_APP_ID_HERE/annotations/searches" \
-H "Authorization: Key YOUR_PAT_HERE" \
-H "Content-Type: application/json" \
-d '{
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"concepts": [
{
"id":"people",
"value": 1
}
]
}
}
}
]
}
}
]
}'
By Clarifai/main and Custom Concepts
You can combine a search to find inputs that have concepts you have supplied as well as predictions from your model.
- Python
- JavaScript (REST)
- NodeJS
- Java
- cURL
################################################################################
# In this section, we set the user authentication, app ID, and the concepts we
# we want to rank by. Change these strings to run your own example.
################################################################################
USER_ID = 'YOUR_USER_ID_HERE'
# Your PAT (Personal Access Token) can be found in the Account's Security section
PAT = 'YOUR_PAT_HERE'
APP_ID = 'YOUR_APP_ID_HERE'
# Change this to a Clarifai/main concept
CONCEPT_ID_1 = 'ai_fvlBqXZR'
# Change this to your own custom concept
CONCEPT_ID_2 = 'people'
##########################################################################
# YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
##########################################################################
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
channel = ClarifaiChannel.get_grpc_channel()
stub = service_pb2_grpc.V2Stub(channel)
metadata = (('authorization', 'Key ' + PAT),)
userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID) # The userDataObject is required when using a PAT
# Here we search for images labeled with 'ai_fvlBqXZR' and for which the General prediction model does not find
# a 'people' concept
post_annotations_searches_response = stub.PostAnnotationsSearches(
service_pb2.PostAnnotationsSearchesRequest(
user_app_id=userDataObject,
searches = [
resources_pb2.Search(
query=resources_pb2.Query(
ranks=[
resources_pb2.Rank(
annotation=resources_pb2.Annotation(
data=resources_pb2.Data(
concepts=[ # You can search by multiple concepts
resources_pb2.Concept(
id=CONCEPT_ID_1, # You could search by concept Name as well
value=1 # Value of 0 will search for images that don't have the concept
)
]
)
)
)
],
filters=[
resources_pb2.Filter(
annotation=resources_pb2.Annotation(
data=resources_pb2.Data(
concepts=[ # You can search by multiple concepts
resources_pb2.Concept(
id=CONCEPT_ID_2, # You could search by concept Name as well
value=0 # Value of 0 will search for images that don't have the concept
)
]
)
)
)
]
)
)
]
),
metadata=metadata
)
if post_annotations_searches_response.status.code != status_code_pb2.SUCCESS:
raise Exception("Post searches failed, status: " + post_annotations_searches_response.status.description)
print("Search result:")
for hit in post_annotations_searches_response.hits:
print("\tScore %.2f for annotation: %s off input: %s" % (hit.score, hit.annotation.id, hit.input.id))
<!--index.html file-->
<script>
///////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the concepts we
// we want to rank by. Change these strings to run your own example.
///////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to a Clarifai/main concept
const CONCEPT_ID_1 = 'ai_fvlBqXZR';
// Change this to your own custom concept
const CONCEPT_ID_2 = 'people';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const raw = JSON.stringify({
"user_app_id": {
"user_id": USER_ID,
"app_id": APP_ID
},
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"concepts": [
{
"id": CONCEPT_ID_1,
"value": 1
}
]
}
}
}, {
"annotation": {
"data": {
"concepts": [
{
"id": CONCEPT_ID_2,
"value": 0
}
]
}
}
}
]
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key ' + PAT
},
body: raw
};
fetch(`https://api.clarifai.com/v2/annnotations/searches`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
</script>
//index.js file
///////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the concepts we
// we want to rank by. Change these strings to run your own example.
///////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to a Clarifai/main concept
const CONCEPT_ID_1 = 'ai_fvlBqXZR';
// Change this to your own custom concept
const CONCEPT_ID_2 = 'people';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const { ClarifaiStub, grpc } = require("clarifai-nodejs-grpc");
const stub = ClarifaiStub.grpc();
// This will be used by every Clarifai endpoint call
const metadata = new grpc.Metadata();
metadata.set("authorization", "Key " + PAT);
// Here we search for images which we labeled with "ai_fvlBqXZR" and for which the General prediction model does not find
// a "people" concept.
stub.PostAnnotationsSearches(
{
user_app_id: {
user_id: USER_ID,
app_id: APP_ID
},
searches: [
{
query: {
ranks: [
{
annotation: {
data: {
concepts: [ // You can search by multiple concepts.
{
id: CONCEPT_ID_1, // You could search by concept Name as well.
value: 1 // Value of 0 will search for images that don't have the concept
}
]
}
}
}, {
annotation: {
data: {
concepts: [ // You can search by multiple concepts.
{
id: CONCEPT_ID_2, // You could search by concept Name as well.
value: 0 // Value of 0 will search for images that don't have the concept
}
]
}
}
}
]
}
}
]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post annotations searches failed, status: " + response.status.description);
}
console.log("Search result:");
for (const hit of response.hits) {
console.log("\tScore " + hit.score + " for annotation: " + hit.annotation.id + " of input: ", hit.input.id);
}
}
);
package com.clarifai.example;
import com.clarifai.channel.ClarifaiChannel;
import com.clarifai.credentials.ClarifaiCallCredentials;
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.StatusCode;
public class ClarifaiExample {
///////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the concepts we
// we want to rank by. Change these strings to run your own example.
//////////////////////////////////////////////////////////////////////////////////
static final String USER_ID = "YOUR_USER_ID_HERE";
//Your PAT (Personal Access Token) can be found in the portal under Authentication
static final String PAT = "YOUR_PAT_HERE";
static final String APP_ID = "YOUR_APP_ID_HERE";
// Change this to a Clarifai/main concept
static final String CONCEPT_ID_1 = "ai_fvlBqXZR";
// Change this to your own custom concept
static final String CONCEPT_ID_2 = "people";
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
public static void main(String[] args) {
V2Grpc.V2BlockingStub stub = V2Grpc.newBlockingStub(ClarifaiChannel.INSTANCE.getGrpcChannel())
.withCallCredentials(new ClarifaiCallCredentials(PAT));
// Here we search for images which we labeled with "ai_fvlBqXZR" and for which the General prediction model does not find
// a "people" concept.
MultiSearchResponse postAnnotationsSearchesResponse = stub.postAnnotationsSearches(
PostAnnotationsSearchesRequest.newBuilder()
.setUserAppId(UserAppIDSet.newBuilder().setUserId(USER_ID).setAppId(APP_ID))
.addSearches(
Search.newBuilder().setQuery(
Query.newBuilder().addRanks(
Rank.newBuilder().setAnnotation(
Annotation.newBuilder().setData(
Data.newBuilder().addConcepts( // You can search by multiple concepts
Concept.newBuilder()
.setId(CONCEPT_ID_1) // You could search by concept Name as well
.setValue(1f) // Value of 0 will search for images that don't have the concept
)
)
)
)
.addRanks(
Rank.newBuilder().setAnnotation(
Annotation.newBuilder().setData(
Data.newBuilder().addConcepts( // You can search by multiple concepts
Concept.newBuilder()
.setId(CONCEPT_ID_2) // You could search by concept Name as well
.setValue(0f) // Value of 0 will search for images that don't have the concept
)
)
)
)
)
)
.build()
);
if (postAnnotationsSearchesResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post annotations searches failed, status: " + postAnnotationsSearchesResponse.getStatus());
}
System.out.println("Found inputs " + postAnnotationsSearchesResponse.getHitsCount() + ":");
for (Hit hit : postAnnotationsSearchesResponse.getHitsList()) {
System.out.printf("\tScore %.2f for annotation %s of input %s\n", hit.getScore(), hit.getAnnotation().getId(), hit.getInput().getId());
}
}
}
# Value of 0 will search for images that don't have the concept.
# Instead of "id", you can search by "name" as well.
# Here we search for images which we labeled with "ai_fvlBqXZR" and for which the General prediction model does not find
# a "people" concept.
curl -X POST "https://api.clarifai.com/v2/users/YOUR_USER_ID_HERE/apps/YOUR_APP_ID_HERE/annotations/searches" \
-H "Authorization: Key YOUR_PAT_HERE" \
-H "Content-Type: application/json" \
-d '{
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"concepts": [
{
"id":"ai_fvlBqXZR",
"value": 1
}
]
}
}
}, {
"annotation": {
"data": {
"concepts": [
{
"id":"people",
"value": 0
}
]
}
}
}
]
}
}
]
}'
By Concept in Another Language
Concepts that have a translation into another language can be searched for in that language, even without having the default language for your app being in that language. This uses the Clarifai's knowledge graph to lookup the translation and then perform the search.
For example, if your app is in English and you want to search for "dog" in Japanese, then you could search with language="ja" and name="犬".
- Python
- JavaScript (REST)
- NodeJS
- Java
- cURL
################################################################################
# In this section, we set the user authentication, app ID, concept name, and
# language ID. Change these strings to run your own example.
################################################################################
USER_ID = 'YOUR_USER_ID_HERE'
# Your PAT (Personal Access Token) can be found in the Account's Security section
PAT = 'YOUR_PAT_HERE'
APP_ID = 'YOUR_APP_ID_HERE'
# Change these to what you want to search by
CONCEPT_NAME = '犬'
LANGUAGE_ID = 'ja' # Japanese
##########################################################################
# YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
##########################################################################
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
channel = ClarifaiChannel.get_grpc_channel()
stub = service_pb2_grpc.V2Stub(channel)
metadata = (('authorization', 'Key ' + PAT),)
userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID)
post_annotations_searches_response = stub.PostAnnotationsSearches(
service_pb2.PostAnnotationsSearchesRequest(
user_app_id=userDataObject,
searches = [
resources_pb2.Search(
query=resources_pb2.Query(
ranks=[
resources_pb2.Rank(
annotation=resources_pb2.Annotation(
data=resources_pb2.Data(
concepts=[ # You can search by multiple concepts.
resources_pb2.Concept(
name=CONCEPT_NAME, # You could search by concept ID as well.
language=LANGUAGE_ID,
value=1 # Value of 0 will search for images that don't have the concept.
)
]
)
)
)
]
)
)
]
),
metadata=metadata
)
if post_annotations_searches_response.status.code != status_code_pb2.SUCCESS:
print(post_annotations_searches_response.status)
raise Exception("Post searches failed, status: " + post_annotations_searches_response.status.description)
print("Search result:")
for hit in post_annotations_searches_response.hits:
print("\tScore %.2f for annotation: %s off input: %s" % (hit.score, hit.annotation.id, hit.input.id))
<!--index.html file-->
<script>
///////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, concept name, and
// language ID. Change these strings to run your own example.
///////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change these to what you want to search by
const CONCEPT_NAME = '犬';
const LANGUAGE_ID = 'ja'; // Japanese
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const raw = JSON.stringify({
"user_app_id": {
"user_id": USER_ID,
"app_id": APP_ID
},
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"concepts": [
{
"name": CONCEPT_NAME,
"language": LANGUAGE_ID,
"value": 1
}
]
}
}
}
]
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key ' + PAT
},
body: raw
};
fetch(`https://api.clarifai.com/v2/annnotations/searches`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
</script>
//index.js file
///////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, concept name, and
// language ID. Change these strings to run your own example.
///////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change these to what you want to search by
const CONCEPT_NAME = '犬';
const LANGUAGE_ID = 'ja'; // Japanese
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const { ClarifaiStub, grpc } = require("clarifai-nodejs-grpc");
const stub = ClarifaiStub.grpc();
// This will be used by every Clarifai endpoint call
const metadata = new grpc.Metadata();
metadata.set("authorization", "Key " + PAT);
stub.PostAnnotationsSearches(
{
user_app_id: {
user_id: USER_ID,
app_id: APP_ID
},
searches: [
{
query: {
ranks: [
{
annotation: {
data: {
concepts: [ // You can search by multiple concepts.
{
name: CONCEPT_NAME, // You could search by concept Id as well.
language: LANGUAGE_ID,
value: 1 // Value of 0 will search for images that don't have the concept
}
]
}
}
}
]
}
}
]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post annotations searches failed, status: " + response.status.description);
}
console.log("Search result:");
for (const hit of response.hits) {
console.log("\tScore " + hit.score + " for annotation: " + hit.annotation.id + " of input: ", hit.input.id);
}
}
);
package com.clarifai.example;
import com.clarifai.channel.ClarifaiChannel;
import com.clarifai.credentials.ClarifaiCallCredentials;
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.StatusCode;
public class ClarifaiExample {
//////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, concept name, and
// language ID. Change these strings to run your own example.
///////////////////////////////////////////////////////////////////////////////////
static final String USER_ID = "YOUR_USER_ID_HERE";
//Your PAT (Personal Access Token) can be found in the portal under Authentication
static final String PAT = "YOUR_PAT_HERE";
static final String APP_ID = "YOUR_APP_ID_HERE";
// Change these to what you want to search by
static final String CONCEPT_NAME = "犬";
static final String LANGUAGE_ID = "ja"; // Japanese
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
public static void main(String[] args) {
V2Grpc.V2BlockingStub stub = V2Grpc.newBlockingStub(ClarifaiChannel.INSTANCE.getGrpcChannel())
.withCallCredentials(new ClarifaiCallCredentials(PAT));
MultiSearchResponse postAnnotationsSearchesResponse = stub.postAnnotationsSearches(
PostAnnotationsSearchesRequest.newBuilder()
.setUserAppId(UserAppIDSet.newBuilder().setUserId(USER_ID).setAppId(APP_ID))
.addSearches(
Search.newBuilder().setQuery(
Query.newBuilder().addRanks(
Rank.newBuilder().setAnnotation(
Annotation.newBuilder().setData(
Data.newBuilder().addConcepts( // You can search by multiple concepts
Concept.newBuilder()
.setName(CONCEPT_NAME) // You could search by concept ID as well
.setLanguage(LANGUAGE_ID)
.setValue(1f) // Value of 0 will search for images that don't have the concept
)
)
)
)
)
)
.build()
);
if (postAnnotationsSearchesResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post annotations searches failed, status: " + postAnnotationsSearchesResponse.getStatus());
}
System.out.println("Found inputs " + postAnnotationsSearchesResponse.getHitsCount() + ":");
for (Hit hit : postAnnotationsSearchesResponse.getHitsList()) {
System.out.printf("\tScore %.2f for annotation %s of input %s\n", hit.getScore(), hit.getAnnotation().getId(), hit.getInput().getId());
}
}
}
# Value of 0 will search for images that don't have the concept.
# Instead of "name", you can search by "id" as well.
curl -X POST "https://api.clarifai.com/v2/users/YOUR_USER_ID_HERE/apps/YOUR_APP_ID_HERE/annotations/searches" \
-H "Authorization: Key YOUR_PAT_HERE" \
-H "Content-Type: application/json" \
-d '{
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"concepts": [
{
"name":"犬",
"language": "ja",
"value": 1
}
]
}
}
}
]
}
}
]
}'
Search by Visual Similarity
You can use images to search through your collection. The API will return ranked results based on how similar the results are to the image you provided in your query.
Search by Image URL
- Python
- JavaScript (REST)
- NodeJS
- Java
- cURL
##################################################################
# In this section, we set the user authentication, app ID, and
# image URL. Change these strings to run your own example.
##################################################################
USER_ID = 'YOUR_USER_ID_HERE'
# Your PAT (Personal Access Token) can be found in the Account's Security section
PAT = 'YOUR_PAT_HERE'
APP_ID = 'YOUR_APP_ID_HERE'
# Change this to the image URL you want to search by
IMAGE_URL = 'https://samples.clarifai.com/metro-north.jpg'
##########################################################################
# YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
##########################################################################
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
channel = ClarifaiChannel.get_grpc_channel()
stub = service_pb2_grpc.V2Stub(channel)
metadata = (('authorization', 'Key ' + PAT),)
userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID)
post_inputs_searches_response = stub.PostInputsSearches(
service_pb2.PostInputsSearchesRequest(
user_app_id=userDataObject,
searches = [
resources_pb2.Search(
query=resources_pb2.Query(
ranks=[
resources_pb2.Rank(
annotation=resources_pb2.Annotation(
data=resources_pb2.Data(
image=resources_pb2.Image(
url=IMAGE_URL
)
)
)
)
]
)
)
]
),
metadata=metadata
)
if post_inputs_searches_response.status.code != status_code_pb2.SUCCESS:
print(post_inputs_searches_response.status)
raise Exception("Post searches failed, status: " + post_inputs_searches_response.status.description)
print("Search result:")
for hit in post_inputs_searches_response.hits:
print("\tScore %.2f for input: %s" % (hit.score, hit.input.id))
<!--index.html file-->
<script>
////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and
// image URL. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to the image URL you want to search by
const IMAGE_URL = 'https://samples.clarifai.com/metro-north.jpg';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const raw = JSON.stringify({
"user_app_id": {
"user_id": USER_ID,
"app_id": APP_ID
},
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"image": {
"url": IMAGE_URL
}
}
}
}
]
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key ' + PAT
},
body: raw
};
fetch(`https://api.clarifai.com/v2/inputs/searches`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
</script>
//index.js file
////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and
// image URL. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to the image URL you want to search by
const IMAGE_URL = 'https://samples.clarifai.com/metro-north.jpg';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const { ClarifaiStub, grpc } = require("clarifai-nodejs-grpc");
const stub = ClarifaiStub.grpc();
// This will be used by every Clarifai endpoint call
const metadata = new grpc.Metadata();
metadata.set("authorization", "Key " + PAT);
stub.PostInputsSearches(
{
user_app_id: {
user_id: USER_ID,
app_id: APP_ID
},
searches: [
{
query: {
ranks: [
{
annotation: {
data: {
image: {
url: IMAGE_URL
}
}
}
}
]
}
}
]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post inputs searches failed, status: " + response.status.description);
}
console.log("Search result:");
for (const hit of response.hits) {
console.log("\tScore " + hit.score + " for input: " + hit.input.id);
}
}
);
package com.clarifai.example;
import com.clarifai.channel.ClarifaiChannel;
import com.clarifai.credentials.ClarifaiCallCredentials;
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.StatusCode;
public class ClarifaiExample {
////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and
// image URL. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////
static final String USER_ID = "YOUR_USER_ID_HERE";
//Your PAT (Personal Access Token) can be found in the portal under Authentication
static final String PAT = "YOUR_PAT_HERE";
static final String APP_ID = "YOUR_APP_ID_HERE";
// Change this to the image URL you want to search by
static final String IMAGE_URL = "https://samples.clarifai.com/metro-north.jpg";
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
public static void main(String[] args) {
V2Grpc.V2BlockingStub stub = V2Grpc.newBlockingStub(ClarifaiChannel.INSTANCE.getGrpcChannel())
.withCallCredentials(new ClarifaiCallCredentials(PAT));
MultiSearchResponse postInputsSearchesResponse = stub.postInputsSearches(
PostInputsSearchesRequest.newBuilder()
.setUserAppId(UserAppIDSet.newBuilder().setUserId(USER_ID).setAppId(APP_ID))
.addSearches(
Search.newBuilder().setQuery(
Query.newBuilder().addRanks(
Rank.newBuilder().setAnnotation(
Input.newBuilder().setData(
Data.newBuilder().setImage(
Image.newBuilder()
.setUrl(IMAGE_URL)
)
)
)
)
)
)
.build()
);
if (postInputsSearchesResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post inputs searches failed, status: " + postInputsSearchesResponse.getStatus());
}
System.out.println("Found inputs " + postInputsSearchesResponse.getHitsCount() + ":");
for (Hit hit : postInputsSearchesResponse.getHitsList()) {
System.out.printf("\tScore %.2f for input %s", hit.getScore(), hit.getInput().getId());
}
}
}
curl -X POST "https://api.clarifai.com/v2/users/YOUR_USER_ID_HERE/apps/YOUR_APP_ID_HERE/inputs/searches" \
-H "Authorization: Key YOUR_PAT_HERE" \
-H "Content-Type: application/json" \
-d '{
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg"
}
}
}
}
]
}
}
]
}'
Search by Image Bytes
You can also search for an input by bytes.
- Python
- JavaScript (REST)
- NodeJS
- Java
- cURL
#######################################################################
# In this section, we set the user authentication, app ID, and image
# file location. Change these strings to run your own example.
#######################################################################
USER_ID = 'YOUR_USER_ID_HERE'
# Your PAT (Personal Access Token) can be found in the Account's Security section
PAT = 'YOUR_PAT_HERE'
APP_ID = 'YOUR_APP_ID_HERE'
# Change this to the image file location you want to search by
IMAGE_FILE_LOCATION = 'YOUR_IMAGE_FILE_LOCATION'
##########################################################################
# YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
##########################################################################
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
channel = ClarifaiChannel.get_grpc_channel()
stub = service_pb2_grpc.V2Stub(channel)
metadata = (('authorization', 'Key ' + PAT),)
userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID)
with open(IMAGE_FILE_LOCATION, "rb") as f:
file_bytes = f.read()
post_inputs_searches_response = stub.PostInputsSearches(
service_pb2.PostInputsSearchesRequest(
user_app_id=userDataObject,
searches = [
resources_pb2.Search(
query=resources_pb2.Query(
ranks=[
resources_pb2.Rank(
input=resources_pb2.Annotation(
data=resources_pb2.Data(
image=resources_pb2.Image(
base64=file_bytes
)
)
)
)
]
)
)
]
),
metadata=metadata
)
if post_inputs_searches_response.status.code != status_code_pb2.SUCCESS:
print(post_inputs_searches_response.status)
raise Exception("Post searches failed, status: " + post_inputs_searches_response.status.description)
print("Search result:")
for hit in post_inputs_searches_response.hits:
print("\tScore %.2f for input: %s" % (hit.score, hit.input.id))
<!--index.html file-->
<script>
/////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and image
// file location. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to the image bytes you want to search by
const IMAGE_FILE_BYTES = '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';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const raw = JSON.stringify({
"user_app_id": {
"user_id": USER_ID,
"app_id": APP_ID
},
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"image": {
"base64": IMAGE_FILE_BYTES
}
}
}
}
]
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key ' + PAT
},
body: raw
};
fetch(`https://api.clarifai.com/v2/inputs/searches`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
</script>
//index.js file
/////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and image
// file location. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to the image file location you want to search by
const IMAGE_FILE_LOCATION = 'YOUR_IMAGE_FILE_LOCATION';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const { ClarifaiStub, grpc } = require("clarifai-nodejs-grpc");
const stub = ClarifaiStub.grpc();
// This will be used by every Clarifai endpoint call
const metadata = new grpc.Metadata();
metadata.set("authorization", "Key " + PAT);
const fs = require("fs");
const imageBytes = fs.readFileSync(IMAGE_FILE_LOCATION);
stub.PostInputsSearches(
{
user_app_id: {
user_id: USER_ID,
app_id: APP_ID
},
searches: [
{
query: {
ranks: [
{
annotation: {
data: {
image: {
base64: imageBytes
}
}
}
}
]
}
}
]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post inputs searches failed, status: " + response.status.description);
}
console.log("Search result:");
for (const hit of response.hits) {
console.log("\tScore " + hit.score + " for input: " + hit.input.id);
}
}
);
package com.clarifai.example;
import com.clarifai.channel.ClarifaiChannel;
import com.clarifai.credentials.ClarifaiCallCredentials;
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.StatusCode;
import com.google.protobuf.ByteString;
import java.io.File;
import java.io.IOException;
import java.nio.file.Files;
public class ClarifaiExample {
/////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and image
// file location. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////////
static final String USER_ID = "YOUR_USER_ID_HERE";
//Your PAT (Personal Access Token) can be found in the portal under Authentication
static final String PAT = "YOUR_PAT_HERE";
static final String APP_ID = "YOUR_APP_ID_HERE";
// Change this to the image file location you want to search by
static final String IMAGE_FILE_LOCATION = "YOUR_IMAGE_FILE_LOCATION";
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
public static void main(String[] args) throws IOException {
V2Grpc.V2BlockingStub stub = V2Grpc.newBlockingStub(ClarifaiChannel.INSTANCE.getGrpcChannel())
.withCallCredentials(new ClarifaiCallCredentials(PAT));
MultiSearchResponse postInputsSearchesResponse = stub.postInputsSearches(
PostInputsSearchesRequest.newBuilder()
.setUserAppId(UserAppIDSet.newBuilder().setUserId(USER_ID).setAppId(APP_ID))
.addSearches(
Search.newBuilder().setQuery(
Query.newBuilder().addRanks(
Rank.newBuilder().setAnnotation(
Input.newBuilder().setData(
Data.newBuilder().setImage(
Image.newBuilder()
.setBase64(ByteString.copyFrom(Files.readAllBytes(
new File(IMAGE_FILE_LOCATION).toPath()
)))
)
)
)
)
)
)
.build()
);
if (postInputsSearchesResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post inputs searches failed, status: " + postInputsSearchesResponse.getStatus());
}
System.out.println("Found inputs " + postInputsSearchesResponse.getHitsCount() + ":");
for (Hit hit : postInputsSearchesResponse.getHitsList()) {
System.out.printf("\tScore %.2f for input %s", hit.getScore(), hit.getInput().getId());
}
}
}
curl -X POST "https://api.clarifai.com/v2/users/YOUR_USER_ID_HERE/apps/YOUR_APP_ID_HERE/inputs/searches" \
-H "Authorization: Key YOUR_PAT_HERE" \
-H "Content-Type: application/json" \
-d '{
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"image": {
"base64": "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"
}
}
}
}
]
}
}
]
}'
By Input ID
If the input has been indexed, we can use the input ID. If there are multiple embeddings (for example multiple regions), we will average the embeddings.
- Python
- JavaScript (REST)
- NodeJS
- Java
- cURL
##################################################################
# In this section, we set the user authentication, app ID, and
# input ID. Change these strings to run your own example.
##################################################################
USER_ID = 'YOUR_USER_ID_HERE'
# Your PAT (Personal Access Token) can be found in the Account's Security section
PAT = 'YOUR_PAT_HERE'
APP_ID = 'YOUR_APP_ID_HERE'
# Change this to the input ID you want to search by
INPUT_ID = 'c021c670357e4083b197abe80bda82b0'
##########################################################################
# YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
##########################################################################
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
channel = ClarifaiChannel.get_grpc_channel()
stub = service_pb2_grpc.V2Stub(channel)
metadata = (('authorization', 'Key ' + PAT),)
userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID)
post_annotations_searches_response = stub.PostAnnotationsSearches(
service_pb2.PostAnnotationsSearchesRequest(
user_app_id=userDataObject,
searches = [
resources_pb2.Search(
query=resources_pb2.Query(
ranks=[
resources_pb2.Rank(
annotation=resources_pb2.Annotation(
input_id=INPUT_ID
)
)
]
)
)
]
),
metadata=metadata
)
if post_annotations_searches_response.status.code != status_code_pb2.SUCCESS:
print(post_annotations_searches_response.status)
raise Exception("Post searches failed, status: " + post_annotations_searches_response.status.description)
print("Search result:")
for hit in post_annotations_searches_response.hits:
print("\tScore %.2f for annotation: %s off input: %s" % (hit.score, hit.annotation.id, hit.input.id))
<!--index.html file-->
<script>
////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and
// input ID. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to the input ID you want to search by
const INPUT_ID = 'c29f81469db34e04b36d22b9a4aba1fa';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const raw = JSON.stringify({
"user_app_id": {
"user_id": USER_ID,
"app_id": APP_ID
},
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"input_id": INPUT_ID
}
}
]
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key ' + PAT
},
body: raw
};
fetch(`https://api.clarifai.com/v2/annnotations/searches`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
</script>
//index.js file
////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and
// input ID. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to the input ID you want to search by
const INPUT_ID = 'c29f81469db34e04b36d22b9a4aba1fa';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const { ClarifaiStub, grpc } = require("clarifai-nodejs-grpc");
const stub = ClarifaiStub.grpc();
// This will be used by every Clarifai endpoint call
const metadata = new grpc.Metadata();
metadata.set("authorization", "Key " + PAT);
stub.PostAnnotationsSearches(
{
user_app_id: {
user_id: USER_ID,
app_id: APP_ID
},
searches: [
{
query: {
ranks: [
{
annotation: {
input_id: INPUT_ID
}
}
]
}
}
]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post annotations searches failed, status: " + response.status.description);
}
console.log("Search result:");
for (const hit of response.hits) {
console.log("\tScore " + hit.score + " for annotation: " + hit.annotation.id + " of input: ", hit.input.id);
}
}
);
package com.clarifai.example;
import com.clarifai.channel.ClarifaiChannel;
import com.clarifai.credentials.ClarifaiCallCredentials;
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.StatusCode;
public class ClarifaiExample {
////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and
// input ID. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////
static final String USER_ID = "YOUR_USER_ID_HERE";
//Your PAT (Personal Access Token) can be found in the portal under Authentication
static final String PAT = "YOUR_PAT_HERE";
static final String APP_ID = "YOUR_APP_ID_HERE";
// Change this to the input ID you want to search by
static final String INPUT_ID = "c29f81469db34e04b36d22b9a4aba1fa";
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
public static void main(String[] args) {
V2Grpc.V2BlockingStub stub = V2Grpc.newBlockingStub(ClarifaiChannel.INSTANCE.getGrpcChannel())
.withCallCredentials(new ClarifaiCallCredentials(PAT));
MultiSearchResponse postAnnotationsSearchesResponse = stub.postAnnotationsSearches(
PostAnnotationsSearchesRequest.newBuilder()
.setUserAppId(UserAppIDSet.newBuilder().setUserId(USER_ID).setAppId(APP_ID))
.addSearches(
Search.newBuilder().setQuery(
Query.newBuilder().addRanks(
Rank.newBuilder().setAnnotation(
Annotation.newBuilder().setInputId(INPUT_ID)
)
)
)
)
.build()
);
if (postAnnotationsSearchesResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post annotations searches failed, status: " + postAnnotationsSearchesResponse.getStatus());
}
System.out.println("Found inputs " + postAnnotationsSearchesResponse.getHitsCount() + ":");
for (Hit hit : postAnnotationsSearchesResponse.getHitsList()) {
System.out.printf("\tScore %.2f for annotation %s of input %s\n", hit.getScore(), hit.getAnnotation().getId(), hit.getInput().getId());
}
}
}
curl -X POST "https://api.clarifai.com/v2/users/YOUR_USER_ID_HERE/apps/YOUR_APP_ID_HERE/annotations/searches" \
-H "Authorization: Key YOUR_PAT_HERE" \
-H "Content-Type: application/json" \
-d '{
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"input_id": "c29f81469db34e04b36d22b9a4aba1fa"
}
}
]
}
}
]
}'
Search by Text Similarity
You can use texts to search through your collection of text. The text-to-text search will return ranked results based on how similar the results are to the text you provided in your query.
tip
- Your inputs should be provided as texts.
- You should choose a workflow that includes a text embedder and a clusterer, such as the Language-Understanding workflow, as the Base Workflow for your application.
- Python
- JavaScript (REST)
- NodeJS
- Java
- cURL
####################################################################################
# In this section, we set the user authentication, app ID, and the raw text we
# we want to search by. Change these strings to run your own example.
###################################################################################
USER_ID = 'YOUR_USER_ID_HERE'
# Your PAT (Personal Access Token) can be found in the Account's Security section
PAT = 'YOUR_PAT_HERE'
APP_ID = 'YOUR_APP_ID_HERE'
# Change this to the raw text you want to search by
RAW_TEXT = 'black dress with white polka dots'
##########################################################################
# YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
##########################################################################
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
channel = ClarifaiChannel.get_grpc_channel()
stub = service_pb2_grpc.V2Stub(channel)
metadata = (('authorization', 'Key ' + PAT),)
userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID)
post_annotations_searches_response = stub.PostAnnotationsSearches(
service_pb2.PostAnnotationsSearchesRequest(
user_app_id=userDataObject,
searches = [
resources_pb2.Search(
query=resources_pb2.Query(
ranks=[
resources_pb2.Rank(
annotation=resources_pb2.Annotation(
data=resources_pb2.Data(
text=resources_pb2.Text(
raw=RAW_TEXT
)
)
)
)
]
)
)
]
),
metadata=metadata
)
if post_annotations_searches_response.status.code != status_code_pb2.SUCCESS:
print(post_annotations_searches_response.status)
raise Exception("Post searches failed, status: " + post_annotations_searches_response.status.description)
print("Search result:")
for hit in post_annotations_searches_response.hits:
print("\tScore %.2f for annotation: %s off input: %s" % (hit.score, hit.annotation.id, hit.input.id))
<!--index.html file-->
<script>
/////////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the raw text we
// we want to search by. Change these strings to run your own example.
////////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to the raw text you want to search by
const RAW_TEXT = 'black dress with white polka dots';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const raw = JSON.stringify({
"user_app_id": {
"user_id": USER_ID,
"app_id": APP_ID
},
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"text": {
"raw": RAW_TEXT
}
}
}
}
]
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key ' + PAT
},
body: raw
};
fetch(`https://api.clarifai.com/v2/annnotations/searches`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
</script>
//index.js file
///////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the raw text we
// we want to search by. Change these strings to run your own example.
//////////////////////////////////////////////////////////////////////////////////
const USER_ID = 'YOUR_USER_ID_HERE';
// Your PAT (Personal Access Token) can be found in the Account's Security section
const PAT = 'YOUR_PAT_HERE';
const APP_ID = 'YOUR_APP_ID_HERE';
// Change this to the raw text you want to search by
const RAW_TEXT = 'black dress with white polka dots';
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
const { ClarifaiStub, grpc } = require("clarifai-nodejs-grpc");
const stub = ClarifaiStub.grpc();
// This will be used by every Clarifai endpoint call
const metadata = new grpc.Metadata();
metadata.set("authorization", "Key " + PAT);
stub.PostAnnotationsSearches(
{
user_app_id: {
user_id: USER_ID,
app_id: APP_ID
},
searches: [
{
query: {
ranks: [
{
annotation: {
data: {
text: {
raw: RAW_TEXT
}
}
}
}
]
}
}
]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post annotations searches failed, status: " + response.status.description);
}
console.log("Search result:");
for (const hit of response.hits) {
console.log("\tScore " + hit.score + " for annotation: " + hit.annotation.id + " of input: ", hit.input.id);
}
}
);
package com.clarifai.example;
import com.clarifai.channel.ClarifaiChannel;
import com.clarifai.credentials.ClarifaiCallCredentials;
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.StatusCode;
public class ClarifaiExample {
///////////////////////////////////////////////////////////////////////////////////
// In this section, we set the user authentication, app ID, and the raw text we
// we want to search by. Change these strings to run your own example.
//////////////////////////////////////////////////////////////////////////////////
static final String USER_ID = "YOUR_USER_ID_HERE";
//Your PAT (Personal Access Token) can be found in the portal under Authentication
static final String PAT = "YOUR_PAT_HERE";
static final String APP_ID = "YOUR_APP_ID_HERE";
// Change this to the raw text you want to search by
static final String RAW_TEXT = "black dress with white polka dots";
///////////////////////////////////////////////////////////////////////////////////
// YOU DO NOT NEED TO CHANGE ANYTHING BELOW THIS LINE TO RUN THIS EXAMPLE
///////////////////////////////////////////////////////////////////////////////////
public static void main(String[] args) {
V2Grpc.V2BlockingStub stub = V2Grpc.newBlockingStub(ClarifaiChannel.INSTANCE.getGrpcChannel())
.withCallCredentials(new ClarifaiCallCredentials(PAT));
MultiSearchResponse postAnnotationsSearchesResponse = stub.postAnnotationsSearches(
PostAnnotationsSearchesRequest.newBuilder()
.setUserAppId(UserAppIDSet.newBuilder().setUserId(USER_ID).setAppId(APP_ID))
.addSearches(
Search.newBuilder().setQuery(
Query.newBuilder().addRanks(
Rank.newBuilder().setAnnotation(
Annotation.newBuilder().setData(
Data.newBuilder().setText(
Text.newBuilder()
.setRaw(RAW_TEXT)
)
)
)
)
)
)
.build()
);
if (postAnnotationsSearchesResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post annotations searches failed, status: " + postAnnotationsSearchesResponse.getStatus());
}
System.out.println("Found inputs " + postAnnotationsSearchesResponse.getHitsCount() + ":");
for (Hit hit : postAnnotationsSearchesResponse.getHitsList()) {
System.out.printf("\tScore %.2f for annotation %s of input %s\n", hit.getScore(), hit.getAnnotation().getId(), hit.getInput().getId());
}
}
}
curl -X POST "https://api.clarifai.com/v2/users/YOUR_USER_ID_HERE/apps/YOUR_APP_ID_HERE/annotations/searches" \
-H "Authorization: Key YOUR_PAT_HERE" \
-H "Content-Type: application/json" \
-d '{
"searches": [
{
"query": {
"ranks": [
{
"annotation": {
"data": {
"text": {
"raw": "black dress with white polka dots"
}
}
}
}
]
}
}
]
}'