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Vector Search

v1.2.1
pinecone · Memory & Knowledge
15.1K installs456 starsApache 2.0Updated 2026-04-17

Store and search vector embeddings with Pinecone, Weaviate, or Qdrant — semantic similarity at scale.

vectorembeddingsragpineconesemantic-search
npx agentmag add vector-search

About

The Vector Search skill connects your agent to vector databases for semantic search at scale. It supports Pinecone, Weaviate, and Qdrant — with automatic embedding generation, batch upserts, metadata filtering, and namespace isolation.

The backbone of RAG (Retrieval-Augmented Generation) workflows. Store documents, code, or any text as embeddings, then retrieve the most semantically relevant results for any query.

Capabilities

  • Automatic text-to-embedding conversion
  • Batch upsert for high-throughput indexing
  • Semantic similarity search with top-K results
  • Metadata filtering and namespace isolation
  • Support for Pinecone, Weaviate, and Qdrant
  • Hybrid search (semantic + keyword)

Compatible agents

Claude CodeCursorWindsurfCopilot

Add Vector Search to your agent

One command to install. Works with all major coding agents.

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