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Feature #7292

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Search Index Compatibility & Semantic Entity Resolution for AI crawl

Added by Vijay Chandra about 1 month ago.

Status:
New
Priority:
High
Assignee:
Start date:
02/01/2026
Due date:
02/02/2026 (43 days late)
% Done:

100%

Estimated time:
4:00 h

Description

Written code and changes to ensure deterministic content exposure and machine-readable semantic resolution for the AI crawl surface. The implementation has been completed, and the technical summary was shared with Sai sir for visibility in what'sapp. The surface now provides a stable, clear, and machine-readable representation suitable for indexing, retrieval, and reasoning by search engines and AI systems.

Work performed includes enforcing document output availability at initial fetch
without a runtime dependency, standardizing the structure to a single primary
semantic root with consistent hierarchical segmentation, introducing explicit
entity definitions for reliable organizational context resolution, normalizing
metadata boundaries across heterogeneous parsers, and removing non-resolvable
References that could introduce ambiguity during automated ingestion.


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