Build local semantic search with text embeddings.
Guides the use of local embedding models for semantic search, text similarity, and clustering.
When to use it
Use when implementing embeddings for RAG, semantic search, text clustering, or multilingual tasks without an API.
It changes how the agent selects embedding models and implements embedding generation in Python projects.
What you provide
The framework and usage examples require Python; no version is specified.
The guide is about the sentence-transformers library and declares it as a dependency.
The skill declares transformers as a dependency.
This skill
sentence-transformers
Installs sentence-transformers