Discover how TAG – Table Augmented Generation – can unlock the hidden value of multiple operational data sources for conversational ad hoc interactions.
RAG (Retrieval-Augmented Generation) is highly effective for processing unstructured data like documents, web pages, and PDFs. However, some of your organization’s most valuable data resides within relational databases and tables—where RAG alone falls short.
In this fireside chat with Tal Doron, AVP & Head of PreSales at GigaSpaces, we’ll explore how TAG (Table-Augmented Generation) bridges this gap, enabling you to have ad hoc conversational interactions with structured data sets and get the info you need, when you need it. TAG empowers organizations to not only access raw data but also to derive meaningful AI-driven insights, uncover historical trends, and predict future outcomes.
In this session, you’ll learn what TAG is, the use cases it supports, and how it can bridge the gap between structured operational databases and LLMs to deliver GenAI value for your business.
Webinar highlights include:
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The lowdown on TAG - Table Augmented Generation
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The difference between RAG and TAG
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Optimal use cases supported by TAG
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Is TAG a good fit for you?
Don’t miss this opportunity to discover how TAG can unlock deeper insights from your structured data, driving smarter, faster, and more strategic business decisions.
