RAG Examples Overview - 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

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

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

Building Agents with Azure OpenAI Agent Streaming