# Chat with Your .NET Project to Build Document Automation Apps

*Upload a solution or template package. Our AI reads the code, creates a searchable index, and helps you design, code, and visualize document generation features.*

Upload a .NET solution or template pack. AI extracts models, builds a RAG index, and lets you chat to generate PDF/Word code, templates, and visual diagrams for document automation.

Page: <https://products.documentize.ai/documentize-engineer>

## How Documentize Engineer Works

### 1. Upload Your .NET Project or Template Pack
Select a solution file, class library, or a zip containing templates from your local machine or CI pipeline.

### 2. AI Extracts Data Models & Document Logic
The engine parses entities, DTOs, and any existing document generation methods, capturing fields, annotations, and sample outputs.

### 3. RAG Index for Semantic Document Automation Queries
Models, method signatures, XML comments, and sample templates are vectorized and indexed, enabling instant, context‑aware answers.

### 4. Chat, Generate Code, Templates & Diagrams
Ask “Create an invoice PDF”, “Generate a Word contract from this model”, or “Show a flowchart of the document pipeline”. AI replies with ready‑to‑run C# code, .docx/.pdf templates, and SVG/PlantUML diagrams.

## What Can AI Documentize Engineer Do?

From quick template creation to full‑featured document pipelines, the AI adapts to your specific codebase.

## FAQ

### Which project or template formats are supported?
Any .NET solution (.sln), project (.csproj), class library DLL, or a zip containing template files (.docx, .xlsx, .html, .md). Supports .NET Framework 4.6.2+, .NET Core 3.1+, .NET 5‑8.

### What parts of my code does the AI see?
Public types, data models, and any document‑related methods. Private implementation details are excluded for security.

### How accurate are the generated document automation snippets?
Highly accurate – the AI reads actual method signatures, attribute metadata, and sample templates to produce compile‑ready code.

### Are my projects stored or shared?
No. Extracted metadata is kept in memory for the session only. Files are never persisted or used to train external models.

### What diagrams can the AI generate?
SVG class diagrams of data models, PlantUML flowcharts of document pipelines, and sequence diagrams of template rendering steps.

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