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Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service

Flipboard

OpenSearch Service is the AWS recommended vector database for Amazon Bedrock. OpenSearch is a distributed open-source search and analytics engine composed of a search engine and vector database. To learn more, see Improve search results for AI using Amazon OpenSearch Service as a vector database with Amazon Bedrock.

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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning Blog

To set up the integration, follow these steps: Create an AWS Lambda function with Python runtime and below code to be the backend for the API. Make sure that we have Powertools for AWS Lambda (Python) available in our runtime, for example, by attaching a Lambda layer to our function.

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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

For example, you can visually explore data sources like databases, tables, and schemas directly from your JupyterLab ecosystem. After you have set up connections (illustrated in the next section), you can list data connections, browse databases and tables, and inspect schemas. This new feature enables you to perform various functions.

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Automatic summarization with LLMs in Python

AssemblyAI

In this tutorial, we will learn how to use LLMs to automatically summarize audio and video files with Python. We’ll use the AssemblyAI Python SDK in this tutorial. python -m venv transcriber # you may have to use `python3` Activate the virtual environment with the activation script on macOS or Linux: source.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning Blog

Apache Spark and its Python API, PySpark , empower users to process massive datasets effortlessly by using distributed computing across multiple nodes. This solution enables you to process massive volumes of textual data, generate relevant embeddings , and store them in a powerful vector database for seamless retrieval and generation.

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. Blueprint’s tools and services allow organizations to quickly obtain decision-guiding insights from your data.

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Use machine learning to detect anomalies and predict downtime with Amazon Timestream and Amazon Lookout for Equipment

AWS Machine Learning Blog

Now that signals are being generated, we can set up IoT Core to read the MQTT topics and direct the payloads to the Timestream database. Choose Create Timestream database. Select Standard database. Name the database sampleDB and choose Create database. For Runtime , choose Python 3.9. Choose Create rule.