Scale semantic search with vector database

Query managed vector database with hybrid search, namespaces, and auto-scaling

Production RAG where managed infrastructure and low latency (<100ms) are non-negotiable requirements.

• · vectors (1536-dim typical)
• · metadata filter
• · namespace partition

• · matched results
• · scores
• · metadata

• · pinecone-client
• · Pinecone SaaS API

Pinecone API key; index pre-created with matching dimensionality; vectors pre-embedded

Namespace mismatch returns empty results; index not found causes API error; wrong metric causes invalid scores

• · 99.9% uptime SLA
• · p95 latency <100ms
• · Fully managed auto-scaling