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 (10 months ago)

Commits 18 (last one 5 months ago)

Stargazers 63 (0 this week)

Watchers 5 (0 this week)

Forks 15

License mit-0

Ranking

RepositoryStats indexes 589,134 repositories, of these aws-samples/rag-with-amazon-bedrock-and-pgvector is ranked #398,997 (32nd percentile) for total stargazers, and #333,644 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #75,718/117,584.

aws-samples/rag-with-amazon-bedrock-and-pgvector is also tagged with popular topics, for these it's ranked: typescript (#6,932/9979), docker (#4,624/6246), python3 (#2,865/4119), ai (#2,618/3952), aws (#1,799/2476), openai (#1,421/2202), langchain (#407/642), rag (#357/500), aws-lambda (#353/479)

Other Information

aws-samples/rag-with-amazon-bedrock-and-pgvector has 1 open pull request on Github, 2 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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18 commits on the default branch (main) since jan '22

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updated: 2024-11-27 @ 01:15pm, id: 746626252 / R_kgDOLICczA