nandani-1411/DocuChat-AI
AI-powered RAG chatbot supporting PDF, PPTX, Excel, CSV, and TXT files for semantic search and contextual question-answering using LangChain and vector databases.
SUMMARY AI要約 by gpt-5-mini
Multi-File RAG Chatbot is an open-source Retrieval-Augmented Generation system for contextual question-answering over multiple document types (PDF, DOCX, PPTX, XLSX, CSV, TXT). It extracts text, chunks documents, generates embeddings, stores vectors in a vector DB (ChromaDB/FAISS), and uses LangChain and Mistral via a FastAPI backend with a React frontend to produce context-aware answers. Who uses it: developers, analysts, and knowledge workers who need semantic search, summarization, cross-file comparison, and note generation. Key features: multi-file upload (drag-and-drop), semantic retrieval, chat (/chat) and upload (/upload) endpoints, local dev setup (Python venv, uvicorn), configurable vector DB, and pipeline for embedding + retrieval. Planned improvements include streaming, auth, multi-user support, and source citations.
DETECTED 検出されたAIスタック
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使用言語(バイト数比)
オーナー情報
Web developer
日付
| GitHub作成日 | 2026-05-23 |
| 最終Push | 2026-05-25 |
| 当サイト初検出 | 2026-05-23 |
| 最終取得 | 2026-06-01 16:14 |
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