Pinecone
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Enables programmatic access to Pinecone vector database operations for AI assistants via the Model Context Protocol.
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Integrate your AI assistants with Pinecone vector databases through a standardized Model Context Protocol (MCP) server. This tool empowers AI agents to perform sophisticated semantic searches, efficiently manage vectors, and interact seamlessly with your knowledge base, facilitating advanced natural language processing and information retrieval tasks.
Características Principales
- Remove vectors or clear your database
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- Perform semantic search with natural language queries
- Add and update documents/vectors in your database
- Monitor Pinecone index statistics and performance
Casos de Uso
- Clean up outdated information or reset a vector database
- Index new documents or update an existing knowledge base for AI applications
- Find relevant documents based on natural language queries
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