> ## Documentation Index
> Fetch the complete documentation index at: https://docs.inworld.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Text Embedder Module

[Overview](../overview) > Text Embedder Module

**Class:** `TextEmbedderModule` | **Inherits from:** `InworldFrameworkModule`

Module for text embedding functionality within the Inworld framework. Converts text into high-dimensional vector representations for semantic analysis and similarity matching. Essential component for knowledge retrieval, safety checking, and other semantic processing operations.

## Reference

This module provides the core text embedding functionality used by other framework modules. It supports both remote and local embedding models for converting text into vector representations.

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## Serialized Fields

This module has no configurable serialized fields. Configuration is handled automatically based on the selected model type.

## Important Notes

The TextEmbedder module is a foundational component required by other modules:

* **Knowledge Module**: Requires text embeddings for semantic knowledge retrieval
* **Safety Module**: Uses embeddings for advanced content analysis

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