Retrieval-Augmented Generation
RAG combines a vector database with an LLM: relevant document chunks are retrieved and fed into the prompt.
Pipeline
Ingest → embed → store → retrieve → generate.
RAG combines a vector database with an LLM: relevant document chunks are retrieved and fed into the prompt.
Ingest → embed → store → retrieve → generate.