ragflow
★ 92.7k
vs
Agent-Framework-Samples
★ 389
ragflow vs Agent-Framework-Samples
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.; Agent-Framework-Samples: This repository offers a comprehensive guide to building intelligent agents with the Microsoft Agent Framework. It provides practical examples and tutorials for both Python and .NET implementations, covering core concepts, tool integration, RAG, and multi-agent systems.
01
TL;DR
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.
Agent-Framework-SamplesRAG / Knowledge Base · ★ 389
Building travel planning agents
02
Side-by-Side Comparison
Field
ragflowAgent-Framework-SamplesCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 389
License
Apache-2.0
MIT
Install Command
docker compose -f docker-compose.yml up -d
git clone https://github.com/microsoft/agent-framework.git && cd agent-framework/python && pip install -e .
Updated
1d ago
3mo ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
AI Agents, Python, .NET
03
Features
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.
Agent-Framework-Samples01Multiple Provider Support
02Tool Integration
03RAG Capabilities
04Multi-Agent Orchestration
05Evaluation & Debugging
04
Use Cases
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.
Agent-Framework-Samples↳Building travel planning agents
↳Developing knowledge-enhanced agents with RAG for file search
↳Orchestrating multi-agent systems for complex workflows like marketing content generation
05
Best For
ragflowMost PopularEssentialTrending
Agent-Framework-SamplesHidden Gem
FAQ
FAQ
What is the difference between ragflow and Agent-Framework-Samples?
Both ragflow and Agent-Framework-Samples are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while Agent-Framework-Samples has 389 stars.
Which is better, ragflow or Agent-Framework-Samples?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and Agent-Framework-Samples if Building travel planning agents.
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is Agent-Framework-Samples free or open source?
Yes, Agent-Framework-Samples is open source on GitHub (MIT).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→