ChatAgent – Multi-Tool Agentic AI & RAG System
Hurr
AI / Machine Learning / Computer Vision Engineer
محمود عتمان
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Architected a stateful agentic framework in LangGraph with conditional routing for dynamic external tool dispatching (Web Search, arXiv, GitHub API, Python REPL, Calculator)., Engineered a production-grade multi-format RAG pipeline supporting PDF, DOCX, TXT, Markdown, Python, and CSV with semantic chunking and ChromaDB vector search., Deployed an asynchronous FastAPI backend streaming real-time Server-Sent Events (SSE) with persistent session memory in SQLite/SQLAlchemy across multi-turn conversations., Implemented long-term memory checkpoints and extensible tool-calling loops enabling autonomous decision-making powered by Google Gemini.