1 year ago

https://aws.amazon.com/polly/ In July, we announced the preview of https://aws.amazon.com/blogs/aws/preview-enable-foundation-models-to-complete-tasks-with-agents-for-amazon-bedrock/, a new capability for developers to create generative AI applications that complete tasks. With a knowledge base, you can use agents to give FMs in Bedrock access to additional data that helps the model generate more relevant, context-specific, and accurate responses without continuously retraining the FM.

To create a knowledge base, specify the https://aws.amazon.com/s3/ location of your data, select an embedding model, and provide the details of your vector database.

Get Started with Knowledge Bases for Amazon Bedrock You can add a knowledge base by specifying a data source, such as Amazon S3, select an embedding model, such as Amazon Titan Embeddings to convert the data into vector embeddings, and a destination vector database to store the vector data.

Add a Knowledge Base to Agents for Amazon Bedrock You can add a knowledge base when creating or updating an agent for Amazon Bedrock.