> ## Documentation Index
> Fetch the complete documentation index at: https://docs.swarms.world/llms.txt
> Use this file to discover all available pages before exploring further.

# RAG Examples Overview

> Retrieval-augmented generation patterns and examples built with Swarms.

Enhance your agents with Retrieval-Augmented Generation (RAG). Connect to vector databases and knowledge bases to give agents access to your custom data.

## What You'll Learn

| Topic                   | Description                                  |
| ----------------------- | -------------------------------------------- |
| **RAG Fundamentals**    | Understanding retrieval-augmented generation |
| **Vector Databases**    | Connecting to Qdrant, Pinecone, and more     |
| **Document Processing** | Ingesting and indexing documents             |
| **Semantic Search**     | Finding relevant context for queries         |

***

## RAG Examples

| Example             | Description                             | Vector DB | Link                                 |
| ------------------- | --------------------------------------- | --------- | ------------------------------------ |
| **RAG with Qdrant** | Complete RAG implementation with Qdrant | Qdrant    | [View Example](/agents/agent-memory) |

***

## Use Cases

| Use Case               | Description                           |
| ---------------------- | ------------------------------------- |
| **Document Q\&A**      | Answer questions about your documents |
| **Knowledge Base**     | Query internal company knowledge      |
| **Research Assistant** | Search through research papers        |
| **Code Documentation** | Query codebase documentation          |
| **Customer Support**   | Access product knowledge              |

***

## Related Resources

* [Memory Documentation](/agents/agent-memory) - Building custom memory
* [Agent Long-term Memory](/api/agent#long-term-memory) - Agent memory configuration