Agentic AI documentation assistant with retrieval-based answering, context-aware conversations, and multi-step troubleshooting.
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Updated
Aug 21, 2026 - Python
Agentic AI documentation assistant with retrieval-based answering, context-aware conversations, and multi-step troubleshooting.
A lightweight agentic RAG-style chatbot and Model Context Protocol (MCP) server that answers questions about LangChain using local vector retrieval, real-time `llms.txt` document resolution, and Corrective RAG (CRAG) context quality evaluation. Built with LangChain, Chroma, Ollama, FastMCP, and Streamlit.
Documentation assistant for developers who want to quickly understand and query large documentation sites. Built with a modern tech stack including Firecrawl for llm-ready web crawling, Unstructured for document processing, MongoDB Atlas for vector search, and OpenAI for embeddings and generation.
AI-powered documentation assistant for Infomaniak products (kDrive, kMeet, kChat). Uses RAG with hybrid search, streaming responses, and a modern React UI with dark mode and TTS support.
A small initial MCP server to help search Vara Network documentation
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