Prepare a team handbook for semantic search in OriginChainDB
Build a small retrieval dataset with useful chunks, stable source IDs and consistent embeddings before tuning search.
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embeddings
How vector search works: HNSW explained
Embeddings turn meaning into geometry. A plain-language walk through similarity metrics, why brute force dies at scale, HNSW, and what quantization costs.