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pingcap/autoflow

An open-source, graph RAG-based conversational knowledge base tool built with TiDB Serverless Vector Storage, offering intelligent search and instant answers.

Core Features

Perplexity-style conversational search page with an advanced built-in website crawler for comprehensive content indexing.

Embeddable JavaScript snippet to easily integrate a conversational search widget into any website for instant product-related query responses.

Quick Start

docker-compose up -d

Detailed Introduction

AutoFlow is an innovative open-source project that functions as a graph RAG (Retrieval-Augmented Generation) based conversational knowledge base tool. It leverages TiDB Serverless Vector Storage, LlamaIndex, and DSPy to provide intelligent search capabilities. Designed to offer Perplexity-style conversational search, it includes an advanced website crawler for comprehensive content indexing. Furthermore, AutoFlow provides an embeddable JavaScript snippet, allowing seamless integration of its AI-powered search widget into any website, enabling instant responses to user queries and enhancing user experience by transforming static documentation into an interactive knowledge hub.