Mmastodon TechnologyAI first seen 2 d ago, last 2 d ago, peak #2
A practical guide to building RAG with LangChain and pgvector
Original: Implementing Retrieval-Augmented Generation with LangChain, Pgvector and OpenAI https://www.codemancers.com/blog/2024-10
Software firm Codemancers has published a tutorial walking through how to implement retrieval-augmented generation, combining LangChain for orchestration, the pgvector extension for storing embeddings in PostgreSQL, and OpenAI models for generation. The piece explains how developers can ground large language model answers in their own data without leaving their existing database stack.
Why now: Developers are actively seeking practical recipes for grounding AI chatbots in private data as RAG becomes a standard enterprise pattern.
CodemancersLangChainpgvectorOpenAIPostgreSQL
Evidence
- Implementing Retrieval-Augmented Generation with LangChain, Pgvector and OpenAI https://www.codemancers.com/blog/2024-10-24-rag-with-langchain # AI # LangChain # OpenAI · codemancers_blog@robot.villas · 3
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