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AutoFlow

AutoFlow

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

Introduction

Information

Publisher
AISecKit
Websitegithub.com
Published date2025/04/28

Categories

AI Application Platforms
AI Productivity Tools
AI Development Frameworks

Tags

Open Source
RAG

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AutoFlow

AutoFlow is an open-source Graph RAG (knowledge graph RAG) based conversational knowledge base tool built on top of TiDB Serverless Vector Storage. It is designed to facilitate advanced conversational search capabilities and knowledge management.

Key Features

Graph RAG Architecture: Utilizes a graph-based approach for knowledge representation and retrieval.
Conversational Interface: Engages users in a natural language conversation to retrieve information.
TiDB Serverless Vector Storage: Leverages TiDB for efficient storage and retrieval of vector data.
Community Contributions: Open to contributions from developers and users, fostering a collaborative environment.
Deployment Options: Can be deployed using Docker Compose, making it easy to set up and run.

Benefits

Enhanced Knowledge Management: Provides a structured way to manage and retrieve knowledge.
User-Friendly: Aims to be user-friendly with plans for a Python package for easy installation.
Active Development: Continuously evolving with community feedback and contributions.

Highlights

Live demo available at tidb.ai.
Open-source under the Apache License, Version 2.0.
Encourages community engagement through discussions and contributions.