303bd3cc96219ec0707f96f7f2a920e532b583b8a81361a74960832cf1782bc7
active
contextual
empirical

For grounding answers in unstructured sources such as recap documents, calendars, claim libraries, and reviews, Fabric Data Agents do not natively ground on PDFs or Word documents, whereas Pyrana’s Context Engine is designed to extract atomic, cited claims from those document types.

Supporting contexts

Quoteverbatim

Ground answers in unstructured sources (recap docs, calendars, claim libraries, reviews)

Pyrana vs Microsoft Fabric — Comparative Analysis (Summer Fridays).pdf

Quoteverbatim

Fabric Data Agents do not natively ground on PDFs/Word documents

Pyrana vs Microsoft Fabric — Comparative Analysis (Summer Fridays).pdf

Quoteverbatim

The Context Engine is built to extract atomic, cited claims from exactly those documents

Pyrana vs Microsoft Fabric — Comparative Analysis (Summer Fridays).pdf

Effective from: 7/16/2026, 10:57:16 PM

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