---
title: "Working with Microsoft Fabric"
description: "Pixeltable's Microsoft Fabric integration enables you to access Azure OpenAI models within Microsoft Fabric notebook environments with automatic authentication."
url: "https://www.pixeltable.com/notebooks/working-with-fabric"
updated: "2026-08-03"
---

# Working with Microsoft Fabric

Pixeltable's Microsoft Fabric integration enables you to access Azure OpenAI models within Microsoft Fabric notebook environments with automatic authentication.

- **Type:** Notebook
- **Group:** Providers

## What it covers

- Important notes
- Chat Completions with Standard Models
- Chat Completions with Reasoning Models
- Embeddings for Semantic Search
- Combining Chat and Embeddings: RAG Pattern
- Available Models in Fabric
- Key Features

## What it uses

- **Install:** `pip install pixeltable`
- **Pixeltable calls:** `fabric.chat_completions()`, `fabric.embeddings()`, `pxt.create_table()`, `@pxt.query`, `add_computed_column()`, `insert()`, `add_embedding_index()`, `similarity()`

## A look at the code

```python
# Parse the response to extract just the message content
tickets.add_computed_column(
    response_text=tickets.ai_response.choices[0].message.content
)
```

## Open it

- **Docs page:** https://docs.pixeltable.com/howto/providers/working-with-fabric
- **Source on GitHub:** https://github.com/pixeltable/pixeltable/blob/release/docs/release/howto/providers/working-with-fabric.ipynb