Sept. 6, 2023, 2:57 p.m. | LangChain


Most complex and knowledge-intensive LLM applications require runtime data retrieval for Retrieval Augmented Generation (RAG). A core component of the typical RAG stack is a vector store, which is used to power document retrieval.

Using a vector store requires setting up an indexing pipeline to load data from sources (a

applications core data data sources indexing knowledge llm llm applications pipeline power rag retrieval retrieval augmented generation stack vector

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