AI article
How to build a RAG system from scratch in Python (chunk embed retrieve cite)( https://ai.studybydoing.in)
Community description: Most "RAG tutorials" hand you a framework and a .from_documents() one-liner, and you never actually...
Dev.to | Sep 18, 2026 | Krishnendu Chatterjee
Automated excerpt
Offline (build the index once): Documents → Chunk (+metadata) → Embed → Vector store. Online (per user question): Question → Retrieve (vector + keyword) → Re-rank → Build context → LLM → Answer + citations. Too small → facts get split across chunks.
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