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What the vault includes
The asset provides several JSON schemas for enterprise corpora: policies, SOPs, contracts, tickets, manuals, quality records, and project documents. Each schema proposes minimum fields, optional fields, and basic validations to avoid arbitrary ingestion.
It is not framed as an abstract standard. It is meant as a starting point for teams that need to move from 'we upload PDFs' to a structure that can filter, cite, and audit answers.
How to use it before indexing more content
The best sequence is to apply the vault to a representative subset of the corpus and discover where fields are missing, where semantic duplication exists, and where dates or ownership mean different things across sources.
That lets the team fix the design before expanding indexing. Reworking twenty documents is much cheaper than reworking thousands of badly labeled chunks.
What RAG problem it solves
It solves a very specific problem: allowing the system to distinguish between an active policy and an outdated one, between a local manual and a corporate one, or between an internal document and a source fit for external answers.
Without that layer of structure, retrieval mixes evidence that looks similar but does not carry the same operating weight or risk.
When schemas are not enough
Schemas alone do not fix a chaotic repository. If there is no ownership, update process, or archival rule, the problem only changes format.
It is also a mistake to assume that one schema should serve every domain. Normalizing too early can erase important contextual signals.
What the CTA unlocks
The CTA unlocks the schema pack so the team can test it in its ingestion pipeline, pre-index validation step, or document quality checklist.
The natural next step is adapting field names, taxonomies, and mandatory rules to the company’s operating reality.
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