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.

advanced-rag
51
Established
LLM-RAG-demo
20
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 1/25
Maturity 9/25
Community 0/25
Stars: 327
Forks: 136
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 1
Forks:
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

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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