Search vectors with hybrid retrieval
turbopuffermcp_serversetup L2★0
turbopuffer/turbopuffer-typescript ↗What it does
Store, index, and search vector embeddings with hybrid keyword/semantic retrieval via Turbopuffer API
Best for
Add semantic search to agent systems needing fast, scalable vector DB without managing infrastructure.
Inputs
- · vectors with metadata
- · queries (vector or keyword)
- · filter expressions
Outputs
- · ranked search results
- · nearest neighbor lists
Requires
- · Turbopuffer API
- · API key
Preconditions
- · Turbopuffer account
- · API key configured
- · TypeScript/JavaScript runtime
Failure modes
- · vector dimension mismatch causes errors
- · beta: may have rough edges
Trust signals
- · TypeScript SDK
- · npm published
- · beta MCP server available
- · Stainless-generated