AWS, Data Lakes and System Architecture

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

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DECEMBER 6, 2023

These datasets are often a mix of numerical and text data, at times structured, unstructured, or semi-structured. needed to address some of these challenges in one of their many AI use cases built on AWS. The dataset Our structured dataset can reside in a SQL database, data lake, or data warehouse as long as we have support for SQL.

SQL

SQL Database AWS Machine Learning

Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 12, 2024

This post describes how Agmatix uses Amazon Bedrock and AWS fully featured services to enhance the research process and development of higher-yielding seeds and sustainable molecules for global agriculture. AWS generative AI services provide a solution In addition to other AWS services, Agmatix uses Amazon Bedrock to solve these challenges.

AWS

AWS AI AI Data Lakes

Data Science Current

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

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