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How to Build a Production-Grade RAG Agent with Hybrid Search in 30 Minutes

This story is from 2026-08-29. It is preserved in the archive; the latest stories are on the live feed.

Most Retrieval-Augmented Generation (RAG) tutorials stop at a naive vector lookup: embed text with OpenAI, store it in Pinecone or Chroma, and perform cosine similarity search. In production environments, this naive approach quickly fails. Vector embeddings excel at semantic similarity, but they co…

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  1. 2026-08-29 16:46 · DEV Community — AI
    How to Build a Production-Grade RAG Agent with Hybrid Search in 30 Minutes

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