Agentic RAG
Teach your agent to search, read, and process external knowledge. Part of the free AI Agents Academy — every lesson below is open to everyone, no signup required.
// LESSONS IN THIS MODULE
- 01RAG Fundamentals8 min · 70 XP
Why RAG? Models are frozen in time when they finish training. Retrieval-Augmented Generation (RAG) gives them a search engine for your private data. T...
- 02Advanced Retrieval10 min · 80 XP
Beyond Basic Vector Search Simple vector search fails when concepts are spread out or use completely different vocabulary. Production systems use Hybr...
- 03Self-Reflective RAG12 min · 80 XP
Agentic RAG Instead of a linear pipeline, we can use an Agent to handle retrieval dynamically. An Agentic RAG system can: Query Reformulation: The age...
- 04Chunking & Embedding Strategies10 min · 80 XP
The Art of Splitting Documents Chunking is the most underrated part of RAG. How you split your documents determines whether retrieval finds the right...
- 05Knowledge Graphs & GraphRAG12 min · 90 XP
Beyond Vector Search: Structured Knowledge Standard RAG retrieves text chunks. GraphRAG converts documents into a Knowledge Graph of entities and rela...