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Videorag

VideoRAG is a Python research framework for retrieving information from video content and answering questions about it. The repository also presents Vimo Desktop, an Electron-based application intended for conversations with video files.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Videorag — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use VideoRAG when evaluating a research approach to long-video retrieval and question answering, or when investigating the repository’s related Vimo desktop workflow.

Who it is for

  • Researchers exploring retrieval-augmented generation for long or multimodal video.
  • Developers investigating video search, question answering, or cross-video retrieval.
  • People seeking a desktop workflow for asking questions about video files, subject to the app’s stated release status.

Documented uses

  • Retrieve video moments relevant to a natural-language question.
  • Search or compare information across multiple videos.
  • Explore how visual and audio content can be aligned with textual queries.
  • Prototype a video knowledge base for recorded lectures, meetings, or other collections.
Before you choose

Requirements & limits

The repository marks the Vimo downloadable app as coming soon, with a beta planned first for macOS Apple Silicon and Windows and Linux versions described as forthcoming. A source-run overview is provided, with detailed setup and configuration referred to the Vimo-desktop folder.

  • The project separates a research framework from its planned Vimo desktop application.
  • The described architecture combines graph-driven knowledge indexing, hierarchical context encoding, adaptive retrieval, and cross-video understanding.
  • The repository identifies Python for the backend and Electron for the frontend source workflow.
  • The README reports support for MP4, MKV, AVI, and other formats, plus multi-video analysis and export capabilities for Vimo.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare to run the Vimo desktop app from source

Identify the documented next stage for setting up Vimo from source.

Before you start

  • The repository directs users to the Vimo-desktop directory for complete installation and configuration steps.

Steps

  1. Open the VideoRAG repository.

  2. Navigate to the Vimo-desktop directory.

  3. Use its installation and configuration instructions to continue setup.

Expected outcome

You reach the repository’s designated instructions for installing and configuring Vimo Desktop.

Guide limitations

  • The available documentation does not provide the actual installation or configuration steps, so this guide does not establish a working setup.
Documentation 1 ↗Documentation 2 ↗
Evidence and transparency

Sources & review

Official repository ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
HKUDS/VideoRAG · Official homepage title · retained in its source language
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