aws-samples / rag-with-amazon-bedrock-and-pgvector

Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)

Date Created 2024-01-22 (11 months ago)

Commits 20 (last one 18 days ago)

Stargazers 73 (1 this week)

Watchers 5 (0 this week)

Forks 15

License mit-0

Ranking

RepositoryStats indexes 601,131 repositories, of these aws-samples/rag-with-amazon-bedrock-and-pgvector is ranked #366,730 (39th percentile) for total stargazers, and #337,229 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #69,517/120,802.

aws-samples/rag-with-amazon-bedrock-and-pgvector is also tagged with popular topics, for these it's ranked: typescript (#6,501/10157), docker (#4,320/6334), python3 (#2,601/4172), ai (#2,584/4170), aws (#1,676/2511), openai (#1,366/2274), langchain (#400/681), rag (#360/546), aws-lambda (#319/485)

Other Information

aws-samples/rag-with-amazon-bedrock-and-pgvector has 1 open pull request on Github, 3 pull requests have been merged over the lifetime of the repository.

All Topics

ai aws cdk rag elbv2 docker gen-ai openai bedrock cognito python3 pgvector langchain aws-lambda typescript ecs-fargate rds-postgres secrets-manager

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20 commits on the default branch (main) since jan '22

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updated: 2025-01-05 @ 04:53pm, id: 746626252 / R_kgDOLICczA