semantic-similarity - Semantic Similarity Computation
Compute semantic relationships between content using embedding models and vector similarity
Tags
Updated: 2026-03-20Capabilities
Typical Inputs
Typical Outputs
What this skill does
- generate document embeddings
- configure embedding models
- implement similarity search
- build recommendation systems
- detect duplicate content
- implement topic modeling
- configure semantic search
- analyze content gaps
- extract concepts from documents
Inputs
- documents and content
- embedding models
- vector database
- knowledge base content
- configuration parameters
- query terms
- user context
Outputs
- document embedding vectors
- similarity search results
- duplicate content reports
- topic models and clusters
- content analysis reports
- extracted concepts
Requirements
- sentence-transformers library
- OpenAI Embeddings API
- Cohere Embed API
- vector database
- scikit-learn