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.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