RU
aws-samples/rag-using-langchain-amazon-bedrock-and-opensearch
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
228 45 +0/wk
GitHub
aws bedrock embedding-vectors genai generative-ai opensearch rag retrieval-augmented-generation vector
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Star & Fork Trend (18 data points)
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aws-samples/rag-using-langchain-amazon-bedrock-and-opensearch has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | rag-using-langchain-amazon-bedrock-and-opensearch | Qt-5-and-OpenCV-4-Computer-Vision-Projects | ReservoirComputing.jl | lbann |
|---|---|---|---|---|
| Stars | 228 | 228 | 228 | 229 |
| Forks | 45 | 90 | 48 | 78 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C++ | Julia | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT-0 | MIT | MIT | NOASSERTION |
Capability Radar vs Qt-5-and-OpenCV-4-Computer-Vision-Projects
rag-using-langchain-amazon-bedrock-and-opensearch
Qt-5-and-OpenCV-4-Computer-Vision-Projects
Maintenance Activity 0
Last code push 456 days ago.
Community Engagement 99
Fork-to-star ratio: 19.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 60
Licensed under MIT-0. Review license terms for your use case.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.