Integrating Clarifai With LangChain
Unlock the full potential of large language models
LangChain is an open-source framework that simplifies the creation of applications using large language models (LLMs). It is designed to help you in crafting cutting-edge applications that seamlessly blend the prowess of LLMs with diverse computational resources and knowledge bases.
Clarifai offers an all-encompassing platform that covers the complete AI lifecycle—from data exploration to inferencing. Notably, Clarifai offers support for LLMs, embeddings, and a vector store within a single, production-scale platform.
LLMs are a transformative technology. However, relying on LLMs in isolation, while impressive, often falls short of unleashing their full potential. Their true power shines when they are combined with other sources of computation and knowledge.
You can take advantage of LangChain’s ability to streamline the complex processes involved in creating LLM applications and Clarifai’s rich AI infrastructure to take your natural language-based applications to unprecedented heights.
Integrating Clarifai with LangChain is an excellent choice to operationalize your LangChain implementations and advance the frontiers of what’s possible with LLMs.
Your integrations might involve building prompt templates, text output processors, creating chains within tasks, developing agents, retrievers, and many more.
You can learn more about integrating Clarifai with LangChain here.
📄️ LLM Models
Use LangChain to interact with Clarifai LLMs
📄️ Text Embeddings
Use Clarifai and LangChain to create text embeddings
📄️ Vector Store
Use Clarifai and LangChain to create a vector store and perform searches