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 effortlessly
Supply unlimited knowledge to your AI applications with RAG without compromising performance with our serverless architecture
Easy and reliable
Get started in a few clicks to apply RAG with enterprise-grade data security, support SLAs, and observability.Â
Learn how customers are using RAG with Pinecone
“We use Pinecone for vector storage and retrieval which has proved crucial for providing flexibility across different customer needs.”
Nick Gomez
Founder, Inkeep
Read Customer Story
“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.