# Autodesk Vault Private AI Layer Blueprint Generator

> Source: https://netray.co/tools/autodesk-vault-private-ai-layer-blueprint-generator
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: Free Tools

## Short answer

Create a shareable plan for adding a private AI assistant to an on-prem Autodesk Vault, built on the Vault API and Job Processor.

## Category

engineering-plm

## Erp

Autodesk Vault Professional

## Audience

- CAD administrator
- IT manager
- Engineering manager

## Tool

**Kind:** template

**Output:** document

**Fields:**

#### Company name

**Key:** company

**Type:** text

**Default:** Harbor Marine Fabrication

#### Vault version

**Key:** version

**Type:** select

**Options:**

- 2022
- 2023
- 2024
- 2025

**Default:** 2024

#### SQL Server edition

**Key:** database

**Type:** select

**Options:**

- SQL Server Standard
- SQL Server Enterprise
- SQL Server Express

**Default:** SQL Server Standard

#### Hosting

**Key:** hosting

**Type:** select

**Options:**

- On-prem server
- Private cloud
- Air-gapped

**Default:** On-prem server

#### Named users

**Key:** users

**Type:** number

**Default:** 90

#### Sites or plants

**Key:** sites

**Type:** number

**Default:** 2

#### Main use cases

**Key:** usecases

**Type:** textarea

**Default:** Property search, where-used, change order status, question answering over released PDFs.

#### Data that must never leave the site

**Key:** never_leave

**Type:** textarea

**Default:** Customer drawings, vessel designs under contract, internal cost properties.

#### GPU available

**Key:** gpu

**Type:** select

**Options:**

- None yet
- 1 x 24 GB
- 1 x 48 GB
- 2 x 48 GB or more

**Default:** 1 x 48 GB

#### Target go-live

**Key:** golive

**Type:** date

**Default:** 2027-05-31

**Blocks:**

#### 1. Context

**Body:** {{company}} runs Autodesk Vault Professional {{version}} with ADMS on {{database}} ({{hosting}}). {{users}} named users, {{sites}} site(s). Target go-live: {{golive}}.

Use cases:
{{usecases}}

Must stay on site:
{{never_leave}}

#### 2. Components

**Table:**

**Columns:**

- Component
- Design for Vault {{version}}
- Notes

**Rows:**

**0:** Data access path

**1:** Vault web services client libraries (document, item, property and change order services)

**2:** Direct database reads are not supported

**0:** Retrieval index

**1:** Local index fed by Job Processor jobs or a worker: text plus folder, category, lifecycle state and revision

**2:** Triggered on check-in and state change

**0:** Model serving

**1:** Open-weight model on vLLM, GPU: {{gpu}}

**2:** Local embeddings

**0:** Tool server

**1:** Named actions: search by property, references, lifecycle, change order status

**2:** Read-only

**0:** Identity and permissions

**1:** Vault credentials or Windows authentication per user; roles, folder ACLs and state security applied by Vault

**2:** Re-check by API read

**0:** Audit

**1:** Log of user, tool calls, file and item ids, answer

**2:** Kept outside ADMS

#### 3. Security controls mapped to your inputs

**Body:** Hosting: {{hosting}}, with no outbound route from the model host.

For {{never_leave}}: the extraction identity is limited to released data, chunks carry folder and state, and anything whose rules cannot be mirrored is excluded.

Phases 1 and 2 are read-only. Phase 3 actions, such as drafting a change order, are proposed to the user and run under their identity.

#### 4. Rollout

**Table:**

**Columns:**

- Phase
- Scope
- Exit criteria

**Rows:**

**0:** 1: Read-only

**1:** Property search, where-used, document Q and A

**2:** Accuracy on an agreed question set

**0:** 2: Drafts

**1:** Change order and revision summaries

**2:** Reviewer acceptance

**0:** 3: Approved actions

**1:** Supported lifecycle or change order actions with approval

**2:** Audit and rollback verified

#### 5. Open questions for IT

**Body:** 1. Which vaults and filestores are in scope?
2. Is the Job Processor stable and who owns it?
3. Which authentication mode do users use?
4. Which lifecycle states count as released?
5. Where can the GPU host sit relative to ADMS?

**Signatures:**

- Prepared by
- CAD administrator
- IT security

**Notes:** A starting plan. Check SDK signatures and service names against the Vault SDK for your release.

## Content

**Intro:** This generator creates an architecture plan for a private AI assistant on an on-prem Autodesk Vault. It uses the Vault API and, where useful, the Job Processor for content extraction.

**Sections:**

#### How to use it

**Body:** Pick your Vault release, SQL Server edition and hosting, then describe your use cases and the data that must stay in-house. The plan includes components, controls mapped to your answers, a rollout table and open questions for your IT team.

#### The method behind it

**Body:** All reads go through the Vault server, either as the user or with filtered results from a limited extraction identity. Lifecycle state, folder and revision travel with each indexed chunk, so the assistant can say whether a document is released. The model is open-weight and local.

#### Reading the plan

**Body:** The Job Processor row matters: it gives you queueing and retries for extraction, but custom jobs need care to keep it stable. Many teams keep parsing in a separate worker. The rollout table keeps actions out of the first two phases.

#### Common mistakes

**Body:** Querying the database for convenience, extracting as an administrator without storing state and folder, and promising CAD geometry understanding. The assistant works from properties and document text.

**Cta:** Netray can review your generated plan against your Vault setup. The tool is free and complete without that.

**Faq:**

#### Does this work with Vault Basic or Workgroup?

**Answer:** API and Job Processor availability differ by edition. Confirm what your edition supports before relying on them, since the plan assumes Professional capabilities.

#### Can I use Autodesk's cloud services instead?

**Answer:** If your policy allows cloud and the features cover your questions, that can be simpler. This plan is for sites that must keep data and models on their own network.

#### Which model size is needed?

**Answer:** For property search and document Q and A, a 14B to 32B class open-weight model on one 24 to 48 GB GPU is a common starting point. Test with your own questions.

#### How is access handled?

**Answer:** Through Vault itself: roles, folder ACLs and lifecycle state security. The assistant calls as the user or filters strictly, then re-checks before showing content.

## Search terms

Autodesk Vault AI plan, Vault API AI assistant, Autodesk Vault on-prem LLM, Vault Job Processor extraction, chat with Autodesk Vault, Vault Professional AI architecture

---
Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json