---
title: "autoflow"
type: "tool"
slug: "pingcap-autoflow"
canonical_url: "https://www.graphcanon.com/tools/pingcap-autoflow"
github_url: "https://github.com/pingcap/autoflow"
homepage_url: "https://tidb.ai"
stars: 2798
forks: 178
primary_language: "TypeScript"
license: "Apache-2.0"
categories: ["model-training", "data-retrieval", "ai-agents"]
tags: ["graphrag", "vector-database", "serverless", "knowledge-graph", "chatbot"]
updated_at: "2026-07-07T18:44:09.731477+00:00"
---

# autoflow

> Graph RAG based and conversational knowledge base tool

AutoFlow is a development tool for building conversational knowledge bases using TiDB Serverless Vector Storage. It supports advanced graph rag (knowledge graph rag) features, integrating a Web crawler with built-in sitemap URL scraping functionality.

## Facts

- Repository: https://github.com/pingcap/autoflow
- Homepage: https://tidb.ai
- Stars: 2,798 · Forks: 178 · Open issues: 75 · Watchers: 25
- Primary language: TypeScript
- License: Apache-2.0
- Last pushed: 2026-04-27T13:55:14+00:00

## Categories

- [Model Training](/categories/model-training.md)
- [Data & Retrieval](/categories/data-retrieval.md)
- [AI Agents](/categories/ai-agents.md)

## Tags

graphrag, vector-database, serverless, knowledge-graph, chatbot

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## README (excerpt)

```text
<div align="center">
<h1>AutoFlow</h1>
  <a href='https://www.pingcap.com/tidb-cloud-serverless/?utm_source=tidb.ai&utm_medium=community'>
    <img src="https://raw.githubusercontent.com/pingcap/autoflow/refs/heads/main/docs/public/icon-dark.svg" alt="AutoFlow" width =100 height=100></img>
  </a>

  <a href="https://trendshift.io/repositories/12294" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12294" alt="pingcap%2Fautoflow | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>

  
  
  
</div>

> [!WARNING]
> Autoflow is still in the early stages of development. And we are actively working on it, the next move is to make it to a python package and make it a RAG solution e.g. `pip install autoflow-ai`. If you have any questions or suggestions, please feel free to contact us on [Discussion](https://github.com/pingcap/autoflow/discussions).

## Introduction

AutoFlow is an open source graph rag (graphrag: knowledge graph rag) based knowledge base tool built on top of [TiDB Vector](https://www.pingcap.com/ai?utm_source=tidb.ai&utm_medium=community) and [LlamaIndex](https://github.com/run-llama/llama_index) and [DSPy](https://github.com/stanfordnlp/dspy).

- **Live Demo**: [https://tidb.ai](https://tidb.ai?utm_source=tidb.ai&utm_medium=community)
- **Deployment Docs**: [Deployment Docs](https://autoflow.tidb.ai/?utm_source=github&utm_medium=tidb.ai)

## Features

1. **Perplexity-style Conversational Search page**: Our platform features an advanced built-in website crawler, designed to elevate your browsing experience. This crawler effortlessly navigates official and documentation sites, ensuring comprehensive coverage and streamlined search processes through sitemap URL scraping.



2. **Embeddable JavaScript Snippet**: Integrate our conversational search window effortlessly into your website by copying and embedding a simple JavaScript code snippet. This widget, typically placed at the bottom right corner of your site, facilitates instant responses to product-related queries.



## Deploy

- [Deploy with Docker Compose](https://autoflow.tidb.ai/deploy-with-docker) (with: 4 CPU cores and 8GB RAM)

## Tech Stack

- [TiDB](https://www.pingcap.com/ai?utm_source=tidb.ai&utm_medium=community) – Database to store chat history, vector, json, and analytic
- [LlamaIndex](https://www.llamaindex.ai/) - RAG framework
- [DSPy](https://github.com/stanfordnlp/dspy) - The framework for programming—not prompting—foundation models
- [Next.js](https://nextjs.org/) – Framework
- [Tailwind CSS](https://tailwindcss.com/) – CSS framework
- [shadcn/ui](https://ui.shadcn.com/) - Design

## Contributing

We welcome contributions from the community. If you are interested in contributing to the project, please read the [Contributing Guidelines](/CONTRIBUTING.md).

<a href="https://next.ossinsight.io/widgets/official/compose-last-28-days-stats?repo_id=752946440" target="_blank" style="display: block" align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="https://next.ossinsight.io/widgets/official/compose-last-28-days-stats/thumbnail.png?repo_id=752946440&image_size=auto&color_scheme=dark" width="655" height="auto">
    <img alt="Performance Stats of pingcap/autoflow - Last 28 days" src="https://next.ossinsight.io/widgets/official/compose-last-28-days-stats/thumbnail.png?repo_id=752946440&image_size=auto&color_scheme=light" width="655" height="auto">
  </picture>
</a>


## License

AutoFlow is open-source under the Apache License, Version 2.0. You can [find it here](https://github.com/pingcap/autoflow/blob/main/LICENSE.txt).

## Contact

You can reach out to us on [Discord](https://discord.gg/XzSW23Jg9p).
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/pingcap-autoflow`](/api/graphcanon/tools/pingcap-autoflow)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_