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 |