Building a Deep Researcher using Python and Streamlit

Learn to build a robust web search and content extraction module in Python. Use duckduckgo_search, httpx, and html-to-markdown to query, fetch HTML, and convert to Markdown. Enhance it with URL deduplication, error logging, and retries via tenacity for safe, reliable scraping.

Learn to build the control logic for a multi-step AI research assistant. Structure the main python script to manage input, control iteration, and orchestrate modules for query generation, relevance checks, context extraction, and report creation. Implement an LLM-driven workflow for iterative search and comprehensive report generation.

Learn Streamlit, a Python framework for building interactive web apps, by turning a CLI research assistant into a responsive interface. Master widgets, layout, and state management while connecting an AI research pipeline to a real-time front end. By the end, you'll have a fully interactive Python-powered research assistant.