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1. guidance-for-high-availability-oracle-databases-on-aws guidance-for-high-availability-oracle-databases-on-aws Public

   Forked from aws-solutions-library-samples/guidance-for-high-availability-oracle-databases-on-aws

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2. terraform-aws-rds-aurora terraform-aws-rds-aurora Public

   Forked from aws-ia/terraform-aws-rds-aurora

   AWS RDS Aurora Module

   HCL 1

3. aws-solutions-library-samples/guidance-for-sentiment-analysis-on-aws aws-solutions-library-samples/guidance-for-sentiment-analysis-on-aws Public

   This Guidance demonstrates how to use pgvector and Amazon Aurora PostgreSQL for sentiment analysis, a powerful natural language processing (NLP) task.

   Jupyter Notebook 5 2

4. aws-samples/multi-az-db-cluster-sample-for-amazon-rds aws-samples/multi-az-db-cluster-sample-for-amazon-rds Public

   HCL 4 4

5. aws-samples/rdscustom-oracle-cev-automation aws-samples/rdscustom-oracle-cev-automation Public archive

   2

6. aws-solutions-library-samples/guidance-for-high-speed-rag-chatbots-on-aws aws-solutions-library-samples/guidance-for-high-speed-rag-chatbots-on-aws Public

   This Guidance demonstrates how to develop a high-performance Retrieval-Augmented Generation (RAG) chatbot by combining Amazon Aurora PostgreSQL-Compatible Edition with the open-source pgvector exte…

   Python 15 11