Maintenancedemo-0009
Private AI Assistant — Local RAG
Upload company documents and ask questions in natural language. Answers include source citations with page numbers. Your own ChatGPT that never leaves your network.
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Overview
A fully local Retrieval-Augmented Generation (RAG) assistant. Upload PDFs, DOCX, or text files — the system chunks, embeds, and stores them in a vector database. Ask questions and get answers grounded in your documents with source citations.
What You'll Learn
- How RAG (Retrieval-Augmented Generation) works end-to-end
- Vector embeddings and semantic similarity search
- Document chunking strategies and their impact on answer quality
- Multi-turn conversational AI with document context
Key Capabilities
- Drag-and-drop document upload (PDF, DOCX, TXT, CSV, Markdown)
- Streaming token-by-token responses with performance metrics
- Source citations with document name and page number
- Collection management for organizing documents by topic or customer
- Live model switching between different LLM sizes