by qhjqhj00 · Agent Tool · ★ 54
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🔍 Awesome Agentic Search 🎯 Objectives | 📚 Papers | 📊 Slides | 🎮 Demo | 🏆 Arena | 🏋️ Gym 🤖 Agentic search is an advanced AI approach where autonomous agents actively plan and execute multi-step, iterative searches to decompose complex queries, evaluate relevance, and synthesize responses—transforming them from passive retrievers into dynamic, reasoning-driven researchers. 🎯 Objectives 🚧 Note: This project is evolving rapidly—join the community by opening issues, submitting PRs, leaving comments, or ⭐ starring the repo to help build a leading resource for agentic search. Research Collection: Curate and categorize comprehensive research work in agentic search, including papers, code implementations, and empirical findings Interactive Demos: Build demonstration pages to showcase different agentic search methods and allow hands-on exploration of their capabilities Evaluation Arena: Develop a Python toolkit for systematic evaluation and benchmarking of agentic search methods across diverse tasks and metrics Training Gym: Create a Python framework for training and optimizing agentic search models, including reinforcement learning and other approaches 📚 Papers For each paper,...
| Stars | 54 |
| Forks | 5 |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 57.4182518724569/100 |
| Open Issues | 1 |
| Last Updated | 2025-08-28 |
| Created | 2025-05-19 |
| Est. Tokens | ~129k |
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awesome-agentic-search is 🔍 Awesome Agentic Search is a curated list of papers, tools, and resources on agentic search—where AI agents plan, search, and reason to answer complex questions. Explore the latest research, benchma. It is categorized as a Agent Tool with 54 GitHub stars.
You can find installation instructions and usage details in the awesome-agentic-search GitHub repository at github.com/qhjqhj00/awesome-agentic-search. The project has 54 stars and 5 forks, indicating an active community.
awesome-agentic-search is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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