advanced-rag and RAG-for-LLMs-demo
These are complementary resources where the advanced course materials (A) provide comprehensive instruction on RAG techniques that practitioners would then implement using a demo application (B) as a reference implementation.
About advanced-rag
guyernest/advanced-rag
Jupyter Notebooks for Mastering LLM with Advanced RAG Course
Covers advanced RAG techniques beyond basic retrieval: semantic chunking, hybrid search combining keyword and vector methods, reranking, reverse HyDE for query reformulation, and multimodal retrieval from images. Addresses enterprise challenges like long documents, domain-specific terminology, and complex document structures through chunking strategies, contextual retrieval, and computer vision integration. Runnable in local Jupyter, Google Colab, and AWS SageMaker Studio Lab environments.
About RAG-for-LLMs-demo
gcerar/RAG-for-LLMs-demo
RAG for LLMs demo
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