{"repo":"zoner72/Datavizion-RAG","free":true,"listed":false,"github":"https://github.com/zoner72/Datavizion-RAG","clone":"git clone https://github.com/zoner72/Datavizion-RAG.git","description":"Retrieval-augmented generation (RAG) for remote & local LLM use","language":"Python","stars":45,"topics":["assistant-chat-bots","chunking","llm","python","rag","scraper"],"license":"MIT","category":"ai-agents","readme_excerpt":"Datavizion Version 0.3.0 Contact me for collab on this repo ========= Overview -------- Datavizion is a beginner‑friendly desktop RAG tool that lets you scrape, index, query, and manage documents with just a few clicks. Built on PyQt6, Qdrant, and your choice of LLM backends, it provides a seamless drag‑and‑drop workflow for turning websites and PDFs into an intelligent, updatable knowledge base. Key Features ------------ • Five intuitive tabs for configuration, data management, API control, live status, and chat/query. • Drag & Drop support for files and folders (note: doesn’t work inside IDEs—launch from your OS file explorer). • Website scraper that downloads text and PDFs, then builds a semantic index. • Vector database integration via Docker-powered Qdrant, with advanced quantization options. • Internal API server which you can turn on/off from the GUI. • Real-time log viewer and health summary to monitor threads, index size, and last operation time. • Customizable LLM settings with templates, temperature, and response format. • Built-in “intense” indexing profile for deeper, overlapping chunks. Screenshots ----------- Installation (Easy for Beginners) --------------------------------- 1. Install Docker Download and install Docker Desktop (Windows/macOS/Linux): https://www.docker.com/get-started 2. Clone this repo bash git clone https://github.com/zoner72/Datavizion-RAG cd DATAVIZION-RAG Create a virtual environment & install Python deps python3 -m venv .venv source .ven","default_branch":null,"files":null,"tree":[],"storefront":"/r/zoner72","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zoner72/Datavizion-RAG/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}