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What's in the feed
- Do you need a vector database? Brute-force search benchmarked from 10k to 1M vectors
- Hybrid search in Python: BM25 + vectors with Reciprocal Rank Fusion, alpha swept 0 to 1
- Jev vs LLMs: when a decision model beats a chat model (and when it doesn't)
- RAG chunking, measured: heading-aware chunks doubled hit@1 on the FastAPI docs
- The RAG production checklist: 25 checks before real users see it
- Stop fake citations in RAG: validate them server-side in 25 lines of Python
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