guyernest/advanced-rag

Jupyter Notebooks for Mastering LLM with Advanced RAG Course

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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.

327 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
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Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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327

Forks

136

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 03, 2025

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