by arunpshankar · Agent Tool · ★ 29
Agentic Search Agentic Search is an advanced AI-powered workflow built to design and implement intelligent search systems using Gemini 2.0 and a ReAct agent. It orchestrates complex searches by dynamically integrating multiple APIs and leveraging a flexible tool registry. This workflow enables the synthesis of diverse data sources to deliver detailed, cohesive, and scalable solutions tailored to intricate queries. For a practical guide to building Agentic Search from scratch, refer to the Medium article.
| Stars | 29 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.0424832860828/100 |
| Last Updated | 2025-01-16 |
| Created | 2025-01-06 |
| Platforms | gemini, python |
| Est. Tokens | ~320k |
These tools work well together with AgenticSearch for enhanced workflows:
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AgenticSearch is AgenticSearch operates within an agentic workflow, utilizing Gemini 2.0 and an extensive tool registry to handle complex questions. By integrating and synthesizing data from multiple APIs, it delivers. It is categorized as a Agent Tool with 29 GitHub stars.
AgenticSearch is primarily written in Python. It covers topics such as agentic-ai, agents, artificial-intelligence.
You can find installation instructions and usage details in the AgenticSearch GitHub repository at github.com/arunpshankar/AgenticSearch. The project has 29 stars and 6 forks, indicating an active community.
AgenticSearch is released under the MIT license, making it free to use and modify according to the license terms.