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autoflow

pingcap/autoflow

Graph RAG based conversational knowledge base tool using TiDB Serverless Vector Storage

GitHub Website

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3.0k stars194 forksLast push 3mo TypeScript Apache-2.0

Decision brief

pingcap/autoflow leverages Graph RAG technology and TiDB Serverless Vector Storage, making it a specialized choice for building conversational knowledge bases in TypeScript.

Good fit when

- When you need to create a conversational interface that can leverage both graph-based data structures and retrieval-augmented generation techniques for context-aware responses.
- If your project specifically requires integration with TiDB's Serverless Vector Storage, thus benefiting from its scalability and on-demand resource allocation without the overhead of managing the底层

Avoid when

- When your application does not require a conversational knowledge base or cannot benefit from retrieval-augmented generation (RAG) techniques.
- If you are aiming for broad compatibility across different SQL-based databases, as autoflow specifically integrates with TiDB and might offer less flexibility when compared to tools that support a多元

Observed Jul 11, 2026 · Source: enrich:decision_facts

autoflow alternatives Trust report

autoflow vs langchain autoflow vs langflow

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Adoption

Package downloads where a registry match exists. GitHub stars (2,971) are secondary evidence.

npm downloads (30d): 41·npm downloads API·today

Maintenance and security

Full trust report

Maintenance: Slowing (115d since push); As of today
Provenance: Not a fork · Organization account; As of today
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install autoflow

npm

How it fits your stack(5)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

langflow

AutoFlow and langflow both provide tools for building and deploying AI-powered agents and workflows, but they approach the solution differently.

alternative

langchain

AutoFlow can be seen as an alternative to langchain for agent engineering, each offering different features and approaches.

alternative

Integrates

ragflow

Both AutoFlow and ragflow are focused on RAG solutions, making them designed to potentially integrate for enhanced capabilities in retrieval-augmented generation.

integrates

infinity

Autoflow uses TiDB Vector Storage which can integrate well with infinity for hybrid search capabilities, as both deal with vector and knowledge graph integration.

integrates

Flowise

Both Autoflow and Flowise are used to build AI agents and conversational platforms, but they differ significantly in their design philosophies and components.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

AlternativeIntegratesRelated

AlternativeIntegratesRelated

Similar tools

Same-category neighbours not already linked as typed edges.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

pingcap/autoflow is a repository for developing a graph-based Retrieval-Augmented Generation (RAG) system intended to create conversational chatbots that can interact with extensive, structured information bases. It leverages vector databases and is architected around TiDB’s serverless functionalities.

Capability facts

Deploy: Self-host
Source: dockerfile:docker-compose.yml · Aug 21, 2026
Docker: Dockerfile present
Source: dockerfile:docker-compose.yml · Aug 21, 2026
Languages: typescript
Source: github.language · Aug 21, 2026

Graph entities

LlamaIndexframework DSPyframework

README

License

AutoFlow is open-source under the Apache License, Version 2.0. You can find it here.

For agents

This page has a .md twin and JSON over the API.

/tools/pingcap-autoflow.md GET /api/graphcanon/tools/pingcap-autoflow GET /api/graphcanon/graph?tool=pingcap-autoflow