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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 |
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 - Building custom memory
- Agent Long-term Memory - Agent memory configuration