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RAG & Knowledge Systems

Autoflow

An open-source web-oriented Graph RAG knowledge-base application built with TypeScript, TiDB Vector, LlamaIndex and DSPy.

Independent OpenViST project profile, based on linked sources.

Autoflow — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Autoflow when a project needs a self-hosted Graph RAG foundation that connects website content, vector storage, conversational search and an embeddable interface.

Who it is for

  • Teams building documentation chatbots
  • Product teams needing embedded conversational support search
  • Organizations creating self-hosted internal research portals
  • Developers exploring knowledge graphs with vector retrieval

Documented uses

  • Crawl official and documentation websites through sitemap URL scraping.
  • Store chat history, vectors, JSON data and analytics in TiDB Vector.
  • Provide a conversational search interface for knowledge-base questions.
  • Embed a conversational search window into a product website.
  • Deploy a website-crawling RAG application through Docker Compose.
Before you choose

Requirements & limits

The repository is public, active and open source under the Apache-2.0 license. Docker Compose deployment is documented with a requirement of 4 CPU cores and 8GB RAM.

  • TiDB Vector is the documented storage layer for chat history, vectors, JSON and analytics.
  • The crawler uses sitemap URL scraping for official and documentation sites.
  • The JavaScript embedding feature is explicitly documented.
  • The project is described as being in the early stages of development.
  • The application uses TypeScript with LlamaIndex and DSPy in its retrieval and foundation-model workflow.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

COMPARE OPTIONS

Compare options for Retrieval-augmented applications

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
AutoflowCrawl official and documentation websites through sitemap URL scraping.Docker, Self-hosted, Server, WebThe repository is public, active and open source under the Apache-2.0 license. Docker Compose deployment is documented with a requirement of 4 CPU cores and 8GB RAM.
Rag Powered AI Assistant Transforming Data Retrieval And Analysis Across The Web And PdfsRetrieve relevant passages from web and PDF content to answer a question.Web
LangChain in Supabase Edge FunctionsInitialize and start a Supabase project locally.Cloud, Server
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
1 October 2026
Original website title
pingcap/autoflow · Official homepage title · retained in its source language
How we review sourcesSuggest a correction