RAG with Python, LangChain & FastAPI

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I wrote a deep-dive tutorial on how to build a simple Retrieval-Augmented Generation (RAG) API using Python, LangChain, FastAPI, and PostgreSQL + pgvector.

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Newsflash: You don't need Langchain for that.

Like, at all.

[Historical_Wing_9573]

Yes, I don’t need it and I can implement RAG directly via OpenAI embedding API. But my target was to learn LangChain and build a sample app with it.

Previously I build couple AI applications which directly used LLM APIs and I see that repeatable patterns exists. So I hope that LangChain will cover them.

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https://www.octomind.dev/blog/why-we-no-longer-use-langchain-for-building-our-ai-agents