{"repo":"hassenhamdi/HyDRA","free":true,"listed":false,"github":"https://github.com/hassenhamdi/HyDRA","clone":"git clone https://github.com/hassenhamdi/HyDRA.git","description":"HyDRA: Hybrid Dynamic RAG Agents, An advanced, agentic AI framework that transforms Retrieval-Augmented Generation from a static pipeline into a dynamic, learning reasoning system.","language":"Python","stars":18,"topics":["agentic-ai","deepsearch","hybrid-search","memory-agents","mutli-agent","quantization","rag","reranking","research-and-development","retrieval-augmented-generation"],"license":"MIT","category":"ai-agents","readme_excerpt":"HyDRA: Hybrid Dynamic RAG Agents An advanced, agentic AI framework that transforms Retrieval-Augmented Generation from a static pipeline into a dynamic, learning reasoning system. HyDRA Website --- Announcement: - New release more powerful overhaul : for full changelog check Changelog.md 🎬 Project Demo See HyDRA in action! This video showcases the iterative reasoning process, the dynamic TUI, and the agent's ability to learn and adapt. (😁 Rest assured The noisy logging output suppression is on the roadmap.) https://github.com/user-attachments/assets/327a96a7-e45e-474c-9984-9d63032d5378 --- Table of Contents - Why HyDRA? - The HyDRA Approach - 1. Hierarchical Agents - 2. Iterative Reasoning (ReAct) - 3. Autonomous Learning (HELP/SIMPSON) - ✨ Core Features - Architectural Overview - 🛠️ Technical Deep Dive - 🚀 Installation & Setup - 💻 Usage - 📝 Future Roadmap - 🤝 Contributing - Acknowledgements & Foundational Work - License --- Why HyDRA? The world of Retrieval-Augmented Generation is evolving at a breakneck pace. Groundbreaking ideas are published monthly, but they often exist in isolation within academic papers or specific repositories. HyDRA was born from a simple question: What would a system look like if we fused the best of these ideas into a single, cohesive, and practical framework? HyDRA is an ambitious attempt to synthesize and build upon the core principles of several leading-edge projects: It adopts the robust, three-layer agentic structure from HiRA for a cle","default_branch":null,"files":null,"tree":[],"storefront":"/r/hassenhamdi","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hassenhamdi/HyDRA/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}