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pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo:https://tidb.ai

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Apache-2.0 license

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frontend		frontend
.dockerignore		.dockerignore
.env.example		.env.example
.gitignore		.gitignore
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE.txt		LICENSE.txt
README.md		README.md
docker-compose-cn.yml		docker-compose-cn.yml
docker-compose.dev.yml		docker-compose.dev.yml
docker-compose.yml		docker-compose.yml

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AutoFlow

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 onDiscussion.

Introduction

AutoFlow is an open source graph rag (graphrag: knowledge graph rag) based knowledge base tool built on top ofTiDB Vector andLlamaIndex andDSPy.

Live Demo:https://tidb.ai
Deployment Docs:Deployment Docs

Features

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.

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.