AgenticSearch

by arunpshankar · Agent Tool · ★ 29

About AgenticSearch

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 cohesive and detailed answers, enabling a robust and intelligent search system.

agentic-aiagentsartificial-intelligencegeminigoogle-cloudlarge-language-modelssearch

Quick Facts

Stars29
Forks6
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score42.15/100
Last Updated2025-01-16
Created2025-01-06
Platformsgemini, python
Est. Tokens~320k

Compatible Skills

These tools work well together with AgenticSearch for enhanced workflows:

  • universal-intelligence — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • agentic-ai-engineering — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • OmniMind — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • mcp-server-any-openapi — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)

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Frequently Asked Questions

What is AgenticSearch?

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.

What programming language is AgenticSearch written in?

AgenticSearch is primarily written in Python. It covers topics such as agentic-ai, agents, artificial-intelligence.

How do I install or use AgenticSearch?

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.

What license does AgenticSearch use?

AgenticSearch is released under the MIT license, making it free to use and modify according to the license terms.

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