advanced-rag and LLM-RAG-demo
The first is a comprehensive educational course covering advanced RAG patterns and implementations, while the second is a lightweight standalone demo notebook showing basic RAG setup with Ollama—making them complements where learners might use the demo as an entry point before progressing to the advanced course material.
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 LLM-RAG-demo
fairdataihub/LLM-RAG-demo
Demo Jupyter notebook for implementing RAG with Ollama
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