---
title: "Embedding"
description: "Local-first visual environment for building and running AI workflows. Build agents visually, deploy anywhere, privacy by design."
canonical: https://docs.nodetool.ai/nodes/nodetool/text/embedding
markdown: https://docs.nodetool.ai/nodes/nodetool/text/embedding.md
product: NodeTool
source: https://github.com/nodetool-ai/nodetool/blob/main/docs/nodes/nodetool/text/embedding.md
---

# Embedding

**Type:** `nodetool.text.Embedding`

**Namespace:** `nodetool.text`

## Description

Generate vector representations of text using any supported embedding provider (OpenAI, Gemini, Mistral).
    embeddings, similarity, search, clustering, classification, vectors, semantic

    Use cases:
    - Semantic search and recommendation
    - Text clustering and classification
    - Anomaly detection
    - Measuring text similarity and diversity

## Properties

| Property | Type | Description | Default |
|----------|------|-------------|---------|
| model | `embedding_model` | The embedding model to use | `{"type":"embedding_model","provider":"openai","...` |
| input | `str` | The text to embed | `` |
| chunk_size | `int` | Size of text chunks for embedding (used when input exceeds model limits) | `4096` |

## Outputs

| Output | Type | Description |
|--------|------|-------------|
| output | `list` |  |

## Related Nodes

Browse other nodes in the [nodetool.text](./) namespace.