AgenticSearch provides a framework to create LLM-driven agents that autonomously query Google Search, retrieve and analyze results, and generate concise summaries to answer sophisticated questions.
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Search Technology
#AI Agents
#web search automation
#Data Aggregation Tools
#structured data extraction
#customizable workflows
#search API integration
#LLM applications
#research assistants
#competitive intelligence
#data scraping
#summary generation
#open-source Python toolkit
#efficient data collection
#automated research tasks
#Scalable Workflows
#multi-step orchestration
#asynchronous execution
#tool for developers
#domain-specific AI
...
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AgenticSearch
AgenticSearch provides a framework to create LLM-driven agents that autonomously query Google Search, retrieve and analyze results, and generate concise summaries to answer sophisticated questions.
AI Platforms & Frameworks
Search Technology
#AI Agents
#web search automation
#Data Aggregation Tools
#structured data extraction
#customizable workflows
#search API integration
#LLM applications
#research assistants
#competitive intelligence
#data scraping
#summary generation
#open-source Python toolkit
#efficient data collection
#automated research tasks
#Scalable Workflows
#multi-step orchestration
#asynchronous execution
#tool for developers
#domain-specific AI
...
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What is AgenticSearch?
AgenticSearch is an open-source Python toolkit for building autonomous AI agents that perform web searches, aggregate data, and produce structured answers. It integrates with large language models and search APIs to orchestrate multi-step workflows: issuing queries, scraping results, ranking relevant links, extracting key passages, and summarizing findings. Developers can customize agent behavior, chain actions, and monitor execution to build research assistants, competitive intelligence tools, or domain-specific data gatherers without manual browsing.
Who will use AgenticSearch?
- AI researchers and data scientists
- Python developers building autonomous agents
- Businesses needing automated web research
- Academic researchers and students
How to use the AgenticSearch?
- Step1: Install via pip: pip install agenticsearch
- Step2: Obtain a Google Search API key or configure SerpAPI credentials
- Step3: Import and initialize AgenticSearch with your API credentials
- Step4: Define your query or task and optional workflow parameters
- Step5: Run the agent to fetch, analyze, and summarize search results
- Step6: Retrieve the agent’s output for further processing or display
Platform
- mac
- windows
- linux
AgenticSearch's Core Features & Benefits
The Core Features
- Autonomous Google Search query orchestration
- Result retrieval, scraping, and ranking
- LLM-based content extraction and summarization
- Customizable multi-step agent workflows
- Integration with LangChain and other LLM frameworks
- Streaming and asynchronous execution support
The Benefits
- Automates repetitive research tasks
- Delivers consistent, high-quality summaries
- Easily customizable for domain-specific needs
- Reduces manual browsing and data collection time
- Open-source and extensible
- Scalable for large-volume query workloads
AgenticSearch's Main Use Cases & Applications
- Academic literature reviews and meta-analyses
- Competitive market intelligence gathering
- Automated report generation for business insights
- Domain-specific data collection and summarization
- Customer support knowledge base updates
FAQs of AgenticSearch
AgenticSearch Company Information
- Arun P Shankar
AgenticSearch Reviews
5/5
AgenticSearch's Main Competitors and alternatives?
- LangChain
- Auto-GPT
- SerpApi
- Microsoft Semantic Kernel
- Haystack
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