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Accelerate your generative AI application development with Amazon Bedrock Knowledge Bases Quick Create and Amazon Aurora Serverless

  • Amazon Bedrock Knowledge Bases can help in building RAG workflows with Amazon Aurora Serverless v2 as the vector store.
  • Quick Create feature enables you to set up Aurora Serverless v2 as a vector store with minimal work.
  • Amazon Bedrock Knowledge Bases processes data by chunking it, converting it into embeddings, and storing them in Aurora Serverless v2.
  • Automate the setup using AWS CloudFormation templates to replicate the setup.
  • Aurora Serverless PostgreSQL-Compatible Edition is a fully managed, high-performance relational database.
  • With this integration, you can store and search vector embeddings in Aurora Serverless v2 while using Amazon Bedrock Foundation Models.
  • Amazon Bedrock Knowledge Bases allows organizations to build fully managed RAG pipelines by augmenting contextual information from private data sources.
  • This architecture uses AWS serverless capabilities to minimize operational overhead while maintaining high performance.
  • Combining Aurora Serverless v2 with the pgvector extension creates a secure, scalable vector storage capability to use with Amazon Bedrock.
  • Automated knowledge base management provided by Amazon Bedrock Knowledge Bases and Aurora Serverless v2 promotes consistency while reducing deployment complexity.

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