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Graphrag UI

Graphrag UI is a Python web application for configuring GraphRAG, managing indexes built from text data, and querying indexed content with natural-language questions answered by an LLM. Its comprehensive interface adds graph visualizations, configuration management, and chat; its clean interface covers indexing, prompt tuning, and file management without queries.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Graphrag UI — 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 the comprehensive interface when you need both corpus management and GraphRAG chat or visualizations. Choose the clean interface for indexing, prompt tuning, and file management when querying is not required.

Who it is for

  • People building or updating a text-based GraphRAG knowledge base.
  • Users who want to ask natural-language questions over indexed content.
  • Users who prefer a web interface for index management, task monitoring, and graph exploration.

Documented uses

  • Create, update, and manage text-data indexes.
  • Monitor indexing and querying progress through logs and status updates.
  • Submit natural-language questions and receive LLM responses based on relevant indexed content.
  • Visualize graph data and adjust GraphRAG configuration.
Before you choose

Requirements & limits

The README documents installation through pip or from source and describes starting the API server and UI locally. Ollama is optional. The repository lists an MIT license.

  • The comprehensive UI includes chat and visualizations; the clean UI does not include query functionality.
  • Ollama is described as an optional local LLM configuration.
  • The README references GraphRAG 0.3.3.
  • The project separates its API server and UI startup steps.

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

Install GraphRAG-UI from pip and start the comprehensive interface

Install the package, launch its API server and comprehensive UI, and open the local interface.

Before you start

  • Python and pip
  • Ollama is optional; the README describes it as a local LLM option.

Steps

  1. Install the package with the command below.

    Documented command
    pip install graphrag-ui

  2. Start the API server with graphrag-ui-server.

  3. Start the comprehensive UI with graphrag-ui.

  4. Open the local interface at http://localhost:7862.

Expected outcome

The comprehensive GraphRAG-UI interface is started locally for index management, configuration, visualizations, and GraphRAG chat.

Guide limitations

  • The README labels Ollama optional; it does not specify exact model or configuration requirements.
  • The clean UI is a separate option and does not include query functionality.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
wade1010/graphrag-ui · Official homepage title · retained in its source language
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