GANI
A privacy-first, offline RAG orchestrator for Windows that transforms local documents into a searchable knowledge base using local LLMs. It automates WSL2 and CUDA setup for a seamless, terminal-free experience.
Cost / License
- Free Personal
- Proprietary
Platforms
- Windows
GANI
Features
Properties
- Privacy focused
Features
- Knowledge Base
GANI News & Activities
Recent activities
GANI information
What is GANI?
GANI is a native Windows RAG (Retrieval-Augmented Generation) orchestrator designed to turn your business and personal documents into a fully offline, searchable knowledge base. By combining the power of local LLMs with ultimate data privacy, GANI ensures that your sensitive data never leaves your machine.
Unlike cloud-based AI assistants, GANI does not rely on external APIs like ChatGPT, Gemini, or Copilot. It runs entirely on your local hardware, providing complete data sovereignty for professionals, developers, small businesses, and AI passionate.
Key Features:
- Once your models are downloaded, GANI operates 100% offline. Zero data leakage.
- No more fighting with Python environments or terminal commands. GANI automatically handles the configuration of WSL2 and NVIDIA CUDA drivers, delivering a user-friendly, out-of-the-box experience.
- Features advanced Contextual Query Rewriting (Pre-Chain) and Coreference Resolution. It automatically decontextualizes follow-up questions so that the vector search (FAISS) finds the exact relevant sources.
- Ready to connect with multiple file formats (PDF, Office, TXT, EPUB) and structured local data sources.
Hardware Requirements:
- Windows 11 (all versions).
- NVIDIA GPU supporting CUDA (RTX 30/40/50 series or professional equivalents) is required for hardware acceleration and fluid inference.