GitHub - NirDiamant/RAG_Techniques: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative mo
7 days ago
- #AI
- #Machine Learning
- #RAG
- Support for the project is encouraged to fuel innovation in RAG technologies.
- The repository is a comprehensive hub for Retrieval-Augmented Generation (RAG) tutorials and techniques.
- RAG is revolutionizing AI by combining information retrieval with generative AI for more accurate responses.
- The project aims to provide resources for researchers and practitioners to push the boundaries of RAG.
- Community contributions are welcomed to shape and advance RAG technology.
- Various advanced RAG techniques are showcased, including Simple RAG, Query Transformations, and HyPE.
- Techniques like Contextual Compression and Multi-modal Retrieval enhance RAG systems' capabilities.
- Evaluation methods like DeepEval and GroUSE are provided for assessing RAG system performance.
- Agentic RAG and Graph RAG are highlighted for complex query handling and knowledge integration.
- Implementation guides and contribution guidelines are available for community involvement.