1 min read 93 words Updated Sep 24, 2026 Created Sep 24, 2026
#AI#Data#RAG#agentic#ml

RAGFlow is an open-source RAG-platform to build agentic search and retrieval around.
It features ingestion of data, memory, chat and file-handling.

It is build around:

It is useful to change the default web port SRV_WEB_HTTP_PORT and SRV_WEB_HTTPS_PORT to 8080 and 8443 or so in the docker/.env

Getting started

Features

Knowledge Graphs

https://ragflow.io/docs/construct_knowledge_graph

CLI

RAGFlow offers a CLI for non-GUI control of the instance. Install with UV: uv tool install ragflow-cli@0.26.4

Debugging

docker exec -it docker-ragflow-cpu-1 /bin/bash -c "ps aux | grep task_executor.py"