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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning Blog

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. But how can we implement and integrate this approach to an LLM-based conversational AI?

SQL 119
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How To Set up a NL2SQL System With Azure OpenAI Studio

Towards AI

Created by Author with Dall-E2 In the previous article, we learned how to set up a prompt able to generate SQL commands from the user requests. Now, we will see how to use Azure OpenAI Studio to create an inference endpoint that we can call to generate SQL commands. Jusct clicking on the Deployment name we can start working.

Azure 122
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Cassandra vs MongoDB

Pickl AI

Summary: Apache Cassandra and MongoDB are leading NoSQL databases with unique strengths. Introduction In the realm of database management systems, two prominent players have emerged in the NoSQL landscape: Apache Cassandra and MongoDB. MongoDB is another leading NoSQL database that operates on a document-oriented model.

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How Do I Integrate Snowflake Security With My Enterprise Security Strategy?

phData

The OAuth framework was initially created and supported by Twitter, Google, and a few other companies in 2010 and subsequently underwent a substantial revision to OAuth 2.0 This allows you to define what your user’s resources should look like and automatically generate (and execute) the Snowflake SQL necessary to create those users.

SQL 52
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Use Amazon Athena SQL queries to provide insights.

AWS 99
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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 158
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Analyzing the history of Tableau innovation

Tableau

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 145