Agentic AI documentation assistant with retrieval-based answering, context-aware conversations, and multi-step troubleshooting.
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Updated
Aug 21, 2026 - Python
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documentation-assistant
Here are 5 public repositories matching this topic...
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.
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Feb 9, 2026 - TypeScript
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.
s3-storage mongodb-atlas openai-api unstructured-io retrieval-augmented-generation-rag firecrawl-api documentation-assistant
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Jan 16, 2026 - Python
A small initial MCP server to help search Vara Network documentation
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Apr 29, 2026 - Python
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.
mcp chatbot pyhton ai-agents rag vector-database sentence-transformers streamlit-application langchain chromadb local-llm retrieval-augmented-generation ollama ollama-chat rag-pipeline rag-chatbot agentic-rag tavily-api documentation-assistant langsmith-observability
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Sep 20, 2026 - Python
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