RAG Pipeline Labs
Master Retrieval-Augmented Generation with hands-on labs covering embeddings, vector stores, semantic search, and advanced RAG techniques.
What You'll Learn
- Build vector stores with embeddings
- Implement semantic search and retrieval
- Create adaptive RAG pipelines
- Handle edge cases with corrective strategies
Available Labs
Corrective RAG (CRAG)
Dynamic correction based on relevance scores. Falls back to web search when local knowledge is insufficient.
Reliable RAG
Relevance grading and hallucination checking. Ensure your RAG system is grounded and accurate.
Graph RAG
Knowledge graphs for enhanced retrieval. Entity extraction and relationship mapping for complex queries.
RAPTOR
Recursive Abstractive Processing. Tree-structured retrieval with summarization for multi-level context.