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Knowledge & Search Knowledge source

Pinecone

Connect Pinecone as a knowledge source for semantic vector search. Query by vector embeddings or example IDs to find semantically similar content across your indexed knowledge. Ideal for RAG applications, content recommendation, and similarity-based retrieval.

Funktionen

  • Semantic vector search by embedding or example ID
  • Namespace-scoped queries for multi-tenant isolation
  • Metadata filtering on search results
  • Fetch vectors by ID for direct lookups
  • List and browse vector namespaces

Beispiel-Anwendungsfälle

Semantic search across company knowledge base for AI-grounded answers

Find similar support tickets for resolution pattern matching

Retrieve related content for recommendation workflows

Search product embeddings for personalized marketing