Pinecone

Vector Databases & Memory

AI Platforms

Pinecone Systems

Managed vector database built for AI applications with serverless deployment, hybrid search, and real-time updates. Scale from prototype to billions of vectors with sub-100ms query latency. Multi-cloud support with AWS, GCP, and Azure.

Why Use Pinecone

Production-ready vector search without infrastructure management. Best for AI agents needing long-term memory storage and fast semantic retrieval. Industry-leading performance with 96% fewer false positives than alternatives. Used by companies like Gong, Notion, and Zapier for RAG and agent memory.

Use Cases for Builders

Practical ways to use Pinecone in your workflow

Build AI agents with long-term episodic memory storage
Implement RAG pipelines for customer support chatbots
Create semantic search for documentation and knowledge bases
Power recommendation systems with embedding similarity
Store and retrieve conversation history for personalized agents

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Try Pinecone

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