GitHub / build-on-aws/llm-rag-vectordb-python committers
Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.
Last synced: 4 months ago
Total Committers: 5
Total Bot Commits: 5
Total Bot Committers: 1
Avg Commits per committer: 17.0
Development Distribution Score (DDS): 0.094
Committers in the past year: 4
Bot Commits in the past year: 4
Bot Committers in the past year: 1
Avg Commits per committer in the past year: 2.5
Development Distribution Score (DDS) in the past year: 0.6
More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/build-on-aws/llm-rag-vectordb-python
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JSON API: https://commits.ecosyste.ms/api/v1/hosts/GitHub/repositories/build-on-aws%2Fllm-rag-vectordb-python
| Name | Commits | |
|---|---|---|
| Suman Debnath | 5****a | 77 |
| dependabot[bot] 🤖 | 4****] | 5 |
| Maksim Chervonnyi | m****l@r****v | 1 |
| Amazon GitHub Automation | 5****o | 1 |
| Haoping Liu | 1 |
Excludes empty and merge commits.
| Name | Commits | |
|---|---|---|
| dependabot[bot] 🤖 | 4****] | 4 |
| Suman Debnath | 5****a | 4 |
| Maksim Chervonnyi | m****l@r****v | 1 |
| Haoping Liu | 1 |
Committers in the past year are calculated by looking at the last 365 days of commits. Excludes empty and merge commits.