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
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.
Reduce hallucination
Leverage domain-specific and up-to-date data at lower cost for any scale and get 50% more accurate answers with RAG.
Scale with low cost
Supply unlimited knowledge to your AI applications with RAG without compromising performance at up to 50x lower cost.
Easy and reliable
Get started in a few clicks to apply RAG with enterprise-grade data security, support SLAs, and observability.
Learn how customers are using RAG with Pinecone
“To make our newest Notion AI products available to tens of millions of users worldwide we needed to support RAG over billions of documents while meeting strict performance, security, cost, and operational requirements. This simply wouldn’t be possible without Pinecone.”
Akshay Kothari
Co-Founder, Notion
Read Customer Stories
“Pinecone serverless opened up possibilities we hadn't considered before and allows us to invest even more in our long-term product capabilities.”
Rick Vestal
Director of Engineering, DISCO
Read Customer Story
What developers can build with Pinecone
Customer service chatbots
Code generation copilot
Knowledge base Q&A
Copywriting assistant
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.