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

Flipboard

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 168
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Exalytics, Exalogic, and Exadata

Pickl AI

The systems architecture combines Oracles hardware expertise with software optimisation to deliver unmatched performance. It ensures that businesses can process large volumes of data quickly, efficiently, and reliably. Market Competition Oracle faces competition from alternative solutions like AWS, Microsoft Azure, and SAP HANA.