I am delighted to introduce the RAG-OSINT 
demo, a cutting-edge tool that leverages Retrieval-Augmented Generation (RAG) to revolutionize web research and open-source intelligence gathering. This tool aims to streamline the intelligence collection process, providing an efficient and effective AI solution for professionals in the field.
Key Features:
Advanced web research capabilities
Optimized data retrieval and processing
User-friendly interface
I invite you to watch the demo video to see RAG-OSINT in action:
Special Thanks To:
Groq: For their powerful computing solutions that enhance the tool’s performance.
phidata: For their robust data management and processing capabilities.
Streamlit: For providing a user-friendly framework to build interactive web applications.
Ollama:For their invaluable support in running and managing large language models locally.
NetworkChuck:
Code source on github
I look forward to your feedback and insights!
Thank you for you attention 