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swarms/docs/examples/rag_examples_overview.md

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# RAG Examples Overview
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](../swarms/RAG/qdrant_rag.md) |
---
## 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](../swarms/memory/diy_memory.md) - Building custom memory
- [Agent Long-term Memory](../swarms/structs/agent.md#long-term-memory) - Agent memory configuration