QAnything is a local knowledge-base question-answering system designed to let users ask questions over many kinds of files and databases. It supports offline installation, making it useful for organizations that need private document analysis without sending data to external services. Users can upload local files and receive fast, reliable answers based on the indexed content. The system supports formats such as PDF, Word, PowerPoint, Excel, Markdown, email, text, images, CSV, and web links. Its retrieval process uses a two-stage vector and reranking approach to maintain answer quality as the knowledge base grows. It is built to be hardware-friendly, easy to deploy with Docker, and usable across Windows, macOS, and Linux.

Features

  • Local knowledge-base Q&A
  • Offline deployment support
  • Multi-format document parsing
  • Cross-language Chinese and English Q&A
  • Two-stage retrieval and reranking
  • Docker-based one-click startup

Project Samples

QAnything Screenshot 1

Project Activity

See All Activity >

Categories

Artificial Intelligence

License

Affero GNU Public License

Follow QAnything

QAnything Web Site

Other Useful Business Software
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of QAnything!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Artificial Intelligence Software

Registered

2026-05-28
Report inappropriate content