docs/tutorials/retrievers/

[giscus[bot]]

docs/tutorials/retrievers/

This tutorial will familiarize you with LangChain's document loader, embedding, and vector store abstractions. These abstractions are designed to support retrieval of data-- from (vector) databases and other sources-- for integration with LLM workflows. They are important for applications that fetch data to be reasoned over as part of model inference, as in the case of retrieval-augmented generation, or RAG (see our RAG tutorial here).

https://python.langchain.com/docs/tutorials/retrievers/

[ali-moameri]

I get an error when setting Mistral API key like this (as suggested in the code):
os.environ["MISTRALAI_API_KEY"] = getpass.getpass("Enter API key for MistralAI: ")

The correct way is to set MISTRAL_API_KEY instead of MISTRALAI_API_KEY:
os.environ["MISTRAL_API_KEY"] = getpass.getpass("Enter API key for MistralAI:")