Browse skills

Generates high-quality embeddings using GrepAI and Ollama for semantic search, similarity analysis, and knowledge graph construction.

This skill generates diverse embedding strategies for your data, optimizing semantic understanding and improving AI model performance.

This tool creates vector embeddings from text, enabling semantic search and understanding within AI applications.

This Embedding Service converts text into numerical representations (embeddings) for semantic search and machine learning tasks, boosting AI performance.

Together Embeddings generates high-quality vector representations of text data for semantic search and AI applications, boosting performance & understanding.

This skill generates CLIP-aware embeddings for images and text, enabling powerful semantic search and similarity matching across diverse content.

Generates vector representations (embeddings) of text using Gemini, enabling semantic search and similarity analysis for powerful AI applications.

This skill automatically converts documents into vector datasets for efficient semantic search and AI model training.

Ark Embedding generates vector embeddings for your data, enabling semantic search and similarity analysis across diverse text formats.

This skill generates diverse embedding strategies for optimal semantic understanding and retrieval across various AI models & datasets.

Semantic search sidecar for Karakeep bookmarks. Find bookmarks by meaning, not just keywords. Uses vector embeddings for intent-aware retrieval.