GitHub / 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)
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws-samples%2Frag-with-amazon-bedrock-and-pgvector
PURL: pkg:github/aws-samples/rag-with-amazon-bedrock-and-pgvector
Stars: 81
Forks: 17
Open issues: 1
License: mit-0
Language: Python
Size: 617 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 3 months ago
Pushed at: 9 months ago
Last synced at: 3 months ago
Topics: ai, aws, aws-lambda, bedrock, cdk, cognito, docker, ecs-fargate, elbv2, gen-ai, langchain, openai, pgvector, python3, rag, rds-postgres, secrets-manager, typescript