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Automated AI Web Researcher Ollama
Overview :
The Automated-AI-Web-Researcher-Ollama is an innovative research assistant tool that conducts in-depth automated online research on any given topic or issue through a locally running large language model powered by Ollama. Unlike traditional interactions with large language models, this tool systematically investigates topics by breaking queries down into focused research areas, performing web searches and scraping relevant sites, and automatically saving findings into a text file that contains all content along with links to each source. Additionally, users can halt the research at any time, upon which the large language model reviews all found content and provides a comprehensive summary on the original topic or issue. Users can also inquire about their research findings with the language model. The main advantage of this tool is that it's not merely a chatbot; it's an automated research assistant that systematically investigates topics and maintains a recorded research trail.
Target Users :
The target audience includes researchers, scholars, analysts, and anyone in need of in-depth investigation on specific topics or issues. This tool is ideal for them as it automates and systematizes the research process, saving time and providing detailed research records and summaries, making research more efficient and verifiable.
Use Cases
Researchers use this tool to study projections of declining global population.
Analysts utilize it to gather and summarize the latest market trends in specific industries.
Scholars employ it to explore and analyze the causes and effects of historical events.
Features
Automated research planning with prioritized focus areas
Systematic web searches and content analysis
Detailed text file saving all research content and source URLs
Generation of research summaries
Post-research Q&A capabilities
Self-improving search mechanisms
Rich console output and status indicators
Synthesis of responses using web-sourced information
Research dialogue mode for exploration of discoveries
Generation of new focus areas based on information findings, repeating research cycles
How to Use
1. Clone the repository: git clone https://github.com/TheBlewish/Automated-AI-Web-Researcher-Ollama
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2. Navigate to the project directory: cd Automated-AI-Web-Researcher-Ollama
3. Create and activate a virtual environment: python -m venv venv
4. Install dependencies: pip install -r requirements.txt
5. Install and configure Ollama: follow the instructions at https://ollama.ai
6. Create a modelfile and configure model parameters
7. Use the ollama command to create the model: ollama create research-phi3 -f modelfile
8. Start Ollama: ollama serve
9. Run the research assistant: python Web-LLM.py
10. Begin the research session: enter @ followed by your research query, then press CTRL+D to submit
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