Retrieval-Augmented Generation (RAG) pipelines can be built entirely within psql using the pgrag extension, which works alongside the pgvector extension to enable efficient semantic searches within Postgres. The pgrag extension simplifies both the preparation of document embeddings and the handling of questions to retrieve relevant information. Users can extract text, generate embeddings, rerank results, and prompt AI chat models like DeepSeek directly within their database environment.
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What a RAG pipeline looks likeWhere Postgres, pgvector and pgrag fit inpgrag functions: stage 1pgrag functions: stage 2A complete RAG pipeline using pgrag and DeepSeekWhat’s next?Sort: