aws-samples / rag-with-amazon-bedrock-and-pgvectorLinks
Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)
☆87Updated 8 months ago
Alternatives and similar repositories for rag-with-amazon-bedrock-and-pgvector
Users that are interested in rag-with-amazon-bedrock-and-pgvector are comparing it to the libraries listed below
Sorting:
- Workshop Studio☆157Updated last year
- Creating Amazon Bedrock agents with Streamlit Framework☆128Updated 6 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆79Updated this week
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆202Updated this week
- ☆253Updated last year
- Cloud-native, AI-powered, document processing pipelines on AWS.☆184Updated 5 months ago
- RAG with langchain using Amazon Bedrock and Amazon OpenSearch☆220Updated 8 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆164Updated last month
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆116Updated 2 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…