semantic-similarity

# Semantic Similarity Skill ## Overview The Semantic Similarity skill provides advanced capabilities for computing and leveraging semantic relationships between content in knowledge management systems. Using modern embedding models and vector similarity techniques, this skill enables intelligent content discovery, recommendation, and organization beyond traditional keyword matching. ## Capabilities ### Document Embedding Generation - Generate embeddings for documents and content - Configure embedding models (OpenAI, Cohere, open-source) - Implement batch embedding pipelines - Manage embedding storage and retrieval - Optimize embedding dimensions for use case ### Sentence Transformer Models - Configure sentence-transformers models - Fine-tune models for domain-specific content - Implement multi-lingual embedding models - Design model selection strategies ### Similarity Search and Clustering - Implement vector similarity search (cosine, dot product) - Configure approximate nearest neighbor (ANN) algorithms - Design content clustering pipelines - Implement hierarchical clustering for organization ### Related Content Recommendation - Build content recommendation systems - Configure "More Like This" functionality - Implement collaborative filtering with embeddings - Design hybrid recommendation approaches ### Duplicate Detection - Identify duplicate and near-duplicate content - Configure similarity thresholds for detection - Implement deduplication workflows - Design merge...