Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Best matched with other agent tools.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Best matched with other agent tools.
ragflow has the larger GitHub footprint with 86.1K stars.
ragflow is currently growing faster at +5.4K stars this week.
ragflow has the stronger automated maintenance signal at 98/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Amazon Bedrock Samples | ragflow |
|---|---|---|
| Evidence status | Basic listing· 5d ago | Recently verified· 5d ago |
| GitHub stars | 1.4K | 86.1K |
| Weekly growth | 0 | +5.4K |
| Health score | Caution35/100 |
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| Contributors | 150 | 681 |
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| Commits per week | 1.7 | 133.2 |
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| Open issues | 123 | 2.1K |
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| Language | Jupyter Notebook | Go |
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| License | MIT-0 | Apache-2.0 |
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| Last commit | 3mo ago | 5d ago |
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| Last release | N/A | v0.26.4 |
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