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.
From the team
Practical articles and engineering guides from the OriginChainDB team.
Build a small retrieval dataset with useful chunks, stable source IDs and consistent embeddings before tuning search.
Model the relationship between a machine and its guide, verify the connection, and handle a missing reference before adding an assistant.
Use vector search to suggest related support tickets, then check permissions, compare evidence and record a reversible human review decision.
Build a room-booking conflict checker with a four-row SQL example, interval diagrams, boundary tests and a clear plan for concurrent requests.
Index three support notes, compare ranked and all-words search, then update a note without leaving stale search text behind.
Turn a small product list into an actionable restock report, with explicit units, predictable results and a simple update workflow.
A relational database re-derives relationships with joins at query time; a graph database stores them as structure and walks them. When each one wins.