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.
Explore a topic
Vector search
Embeddings, vector indexes and practical semantic-search workflows with OriginChainDB.
Build a duplicate-ticket review workflow with OriginChainDB vector search
Use vector search to suggest related support tickets, then check permissions, compare evidence and record a reversible human review decision.
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.