Module embeddings_simple 

Simple semantic embeddings implementation

⚠️ WARNING: This module contains mock/test-only implementations

This is a simplified version that demonstrates the concept without all the complex integrations that cause compilation issues. The text_to_embedding function uses hash-based pseudo-embeddings that are NOT semantically meaningful and should only be used for:

• Unit testing
• Development/demonstration purposes
• Fallback when real embeddings are unavailable

Production Use: Use memory-core/src/embeddings/ module with real embedding models (gte-rs, ONNX runtime) for actual semantic search.

Structs

EmbeddingConfig

Configuration for embeddings

Functions

cosine_similarity

Calculate cosine similarity between two vectors

demonstrate_semantic_search

Simple semantic search demonstration

find_similar_texts

Find most similar texts from a collection

text_to_embedding

Simple text to embedding converter (mock implementation)