Vector Search
v1.2.1Vector Search is an AI agent skill in the Memory & Knowledge category. Store and search vector embeddings with Pinecone, Weaviate, or Qdrant — semantic similarity at scale.
npx agentmag add vector-searchAbout
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
Add Vector Search to your agent
One command to install. Works with all major coding agents.
Related AI agent resources
Useful Tools
Building an agent skill? Submit your AI agent skill for free or get featured placement.