holmesgpt
★ 3.7k
vs
ragflow
★ 93.0k
holmesgpt vs ragflow
holmesgpt: HolmesGPT is an AI agent designed for cloud troubleshooting and alert investigation. It connects AI models with live observability data and organizational knowledge to find root causes and suggest remediations.; ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities. It provides a superior context layer for LLMs and offers a streamlined RAG workflow adaptable to enterprises of any scale.
01
TL;DR
holmesgptObservability · ★ 3.7k
Automated cloud troubleshooting and root cause analysis for operational issues.
ragflowRAG / Knowledge Base · ★ 93.0k
When to choose:
- Your documents have complex layouts (PDFs, scanned files, tables, slides) and you need layout analysis, OCR, and traceable citations.
- You want an Apache-2.0 all-in-one RAG platform where you can inspect and hand-tune template-based chunks in a web UI.
When to skip:
- Your server has less than 4 CPU cores and 16 GB RAM; RAGFlow's multi-service stack is heavy.
- You want an autonomous web research agent that writes 2,000-word reports from live search rather than indexing a local document corpus; GPT Researcher fits better.
02
Side-by-Side Comparison
Field
holmesgptragflowCategory
Observability
RAG / Knowledge Base
Stars
★ 3.7k
★ 93.0k
License
Apache-2.0
Apache-2.0
Install Command
git clone https://github.com/HolmesGPT/holmesgpt.git
docker compose -f docker-compose.yml up -d
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent, Cloud Troubleshooting, Observability
RAG, AI Agent, LLM
03
Features
holmesgpt01Investigates cloud problems, finds root causes, and suggests remediations
02Dozens of built-in integrations for cloud providers, observability tools, and on-call systems
03Utilizes an agentic loop to analyze data from multiple sources
04Supports custom data sources and runbooks for tailored investigations
05Provides end-to-end automation for alert investigation and analysis reporting
ragflow01Deep document understanding for knowledge extraction from unstructured data.
02Intelligent and template-based chunking with explainable options.
03Grounded citations with reduced hallucinations and traceable references.
04Compatibility with heterogeneous data sources including documents, images, and web pages.
05Automated and effortless RAG workflow orchestration with configurable models and fused re-ranking.
04
Use Cases
holmesgpt↳Automated cloud troubleshooting and root cause analysis for operational issues.
↳Proactive investigation of alerts from various monitoring and on-call systems (e.g., Prometheus, PagerDuty).
↳Leveraging internal documentation and knowledge bases for incident resolution and remediation.
ragflow↳Building high-fidelity, production-ready AI systems with complex data.
↳Developing enterprise-scale knowledge base and intelligent Q&A chatbots.
↳Facilitating intelligent document processing and advanced information retrieval.
05
Best For
holmesgptTrending
ragflowMost PopularEssentialTrending
FAQ
FAQ
What is the difference between holmesgpt and ragflow?
Both holmesgpt and ragflow are in the Observability category. holmesgpt has 3.7k stars, while ragflow has 93.0k stars.
Which is better, holmesgpt or ragflow?
The best choice depends on your use case. Choose holmesgpt if Automated cloud troubleshooting and root cause analysis for operational issues., and ragflow if Building high-fidelity, production-ready AI systems with complex data..
Is holmesgpt free or open source?
Yes, holmesgpt is open source on GitHub (Apache-2.0).
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→