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RETRIEVAL AUGMENTED GENERATION

Built AI chatbots, agents, and assistants that “get it”

Bring unlimited knowledge to your AI applications and improve answer quality with RAG

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RAG with Pinecone

RAG is a framework for combining LLMs with an external vector database to generate more accurate and up-to-date responses. The Pinecone vector database lets you build RAG applications using vector search.

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Reduce hallucination

Leverage domain-specific and up-to-date data at lower cost for any scale and get 50% more accurate answers with RAG.

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Scale with low cost

Supply unlimited knowledge to your AI applications with RAG without compromising performance at up to 50x lower cost.

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Easy and reliable

Get started in a few clicks to apply RAG with enterprise-grade data security, support SLAs, and observability. 

What developers can build with Pinecone

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Customer service chatbots

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Code generation copilot

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Knowledge base Q&A

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Copywriting assistant

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Healthcare agents

Resources for developers

Start building knowledgeable AI now

Create your first index for free, then upgrade and pay as you go when you're ready to scale, or talk to sales.