Amazon Aurora Machine Learning
A feature of Amazon Aurora that enables making calls to ML models like Amazon Bedrock or Amazon SageMaker through SQL functions, allowing direct generation of embeddings within the database and abstracting the vectorization process.
About this tool
Amazon Aurora Machine Learning
Amazon Aurora Machine Learning is a feature of Amazon Aurora that integrates machine learning capabilities directly into the database. It allows users to invoke ML models, such as Amazon Bedrock or Amazon SageMaker, by using SQL functions.
Features
- SQL-driven ML Model Calls: Enables making direct calls to external machine learning models like Amazon Bedrock and Amazon SageMaker through SQL functions.
- Direct Embedding Generation: Supports the generation of embeddings directly within the database environment.
- Vectorization Abstraction: Simplifies the process of working with vector data by abstracting the complexities of vectorization.
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