How it Works

A best-in-class approach for leveraging metadata within RAG

Deasie’s platform provides an intelligent and efficient approach for enterprises to rapidly define, extract and include metadata within their RAG applications.

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Step 1

Generate relevant metadata

Deasie’s metadata creation process is designed to be derive bespoke metadata from your documents, geared towards RAG optimization.

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Step 2

Refine & test metadata

Deasie’s metadata refinement workflow leads to high-quality, standardised metadata that are customised to your business and always up-to-date.

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Step 3

Utilize metadata

Deasie’s Retrieval Agent has been designed to intelligently assess metadata in order to find the most relevant nodes for a given query.

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Best-in-class

Deasie combines best-in-class models with a user-assisted workflow and interface, empowering you to curate, prepare and connect unstructured data to AI applications

Certified

SOC-2 Certified Security Assurance

Ensuring Your Data's Protection and Compliance with Industry-Standard Security Controls

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