An experiment using autogen AI Conversation Framework to create a team of AI Agents to assess quality and trustworthiness of any types of content from the internet.
Techstack used: streamlit, langchain, autogen.
Description: the system contains two agents: researcher and questioner. The first one is programmed to extract key insights from the loaded documents, the second one uses those insights as an input to perform a validation framework, using a search_tool (Tavily) and ReAct prompt engineering.
streamlit run app.py