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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.

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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.

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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