# RAG

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

RETRIEVAL AUGMENTED GENERATION

## Build AI chatbots, agents, and assistants that “get it”

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

[Get Started](https://app.pinecone.io/)

[Contact Sales](https://www.pinecone.io/contact/)

- ![Gong](https://cdn.sanity.io/images/vr8gru94/production/922741b641029c77fa5a88339504636782747c7f-158x56.png)
- ![Microsoft](https://cdn.sanity.io/images/vr8gru94/production/9f1a1e8edfb77639ee53acf49a1f8ec3673813d7-301x62.png)
- ![Hubspot](https://cdn.sanity.io/images/vr8gru94/production/ab7219a1516e1c83a82fada65af94ee34209917e-1000x284.png)
- ![Klarna](https://cdn.sanity.io/images/vr8gru94/production/468190e8ef7ad82dcd927f1227a023c135d4b7a4-248x61.png)
- ![clickup](https://cdn.sanity.io/images/vr8gru94/production/dbd157379336492fae1f389f3259ad539a8bbd89-374x100.png)
- ![CS DISCO](https://cdn.sanity.io/images/vr8gru94/production/37aadb918940693df3c62c1ee7fa99c7adb47449-145x21.png)
- ![Frontier](https://cdn.sanity.io/images/vr8gru94/production/604c3226771be136216b475260435020ceea1c40-224x51.png)

## 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.

## 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](https://www.pinecone.io/blog/rag-brag-inkeep/)

> “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](https://www.pinecone.io/customers/disco/)

## What developers can build with Pinecone

### Customer service chatbots

### Code generation copilot

### Knowledge base Q&A

### Copywriting assistant

### Healthcare agents

## Resources for developers

### Getting started with full-text search

[Learn more](https://docs.pinecone.io/guides/search/full-text-search)

### Building RAG Chatbots with LangChain

[Learn more](https://github.com/pinecone-io/examples/blob/master/learn/generation/langchain/rag-chatbot.ipynb)

### Deploying Open Source LLMs for RAG with SageMaker

[Learn more](https://www.pinecone.io/learn/sagemaker-rag/)

### [Prototype and ship AI assistants in minutes](https://docs.pinecone.io/guides/get-started/assistant-quickstart)

Pinecone Assistant is a service that allows you to upload documents, ask questions, and receive responses that reference your documents.

![Assistant](https://cdn.sanity.io/images/vr8gru94/production/3b03f8b208fe8778ccea214f82f203a89bb0bc75-1312x525.png)

## Start building knowledgeable AI now

Create your first index for free, then upgrade and [pay as you go](https://www.pinecone.io/pricing/) when you're ready to scale, or [talk to sales](https://www.pinecone.io/contact/).

[Get Started](https://app.pinecone.io/)

[View this page on Pinecone](https://www.pinecone.io/solutions/rag/)