blades
★ 818
vs
ragflow
★ 92.7k
blades vs ragflow
blades: Blades is a multimodal AI Agent framework for the Go language, supporting custom models, tools, memory, middleware, etc. It is suitable for multi-turn conversations, chain-of-thought reasoning, and structured output, among other use cases.; 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
bladesVision / Multimodal · ★ 818
Multi-turn conversations
ragflowRAG / Knowledge Base · ★ 92.7k
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
bladesragflowCategory
Vision / Multimodal
RAG / Knowledge Base
Stars
★ 818
★ 92.7k
License
MIT
Apache-2.0
Install Command
git clone https://github.com/go-kratos/blades.git
docker compose -f docker-compose.yml up -d
Updated
2mo ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent, Go, LLM
RAG, AI Agent, LLM
03
Features
blades01Go Idiomatic Design
02Simple to Use
03Middleware Ecosystem
04Highly Extensible
05Pluggable LLM Interface
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
blades↳Multi-turn conversations
↳Chain-of-thought reasoning
↳Structured output
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
blades—
ragflowMost PopularEssentialTrending
FAQ
FAQ
What is the difference between blades and ragflow?
Both blades and ragflow are in the Vision / Multimodal category. blades has 818 stars, while ragflow has 92.7k stars.
Which is better, blades or ragflow?
The best choice depends on your use case. Choose blades if Multi-turn conversations, and ragflow if Building high-fidelity, production-ready AI systems with complex data..
Is blades free or open source?
Yes, blades is open source on GitHub (MIT).
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
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