embeddings

What problem does it solve?

This Skill simplifies the process of generating, managing, and utilizing vector embeddings for semantic search and similarity analysis, making it easier to build AI-powered search and recommendation systems.

Core Features & Use Cases

• Multiple Providers: Supports OpenAI, Voyage AI, and local models for flexibility.
• Efficient Embedding: Generates embeddings for single texts or batches.
• Semantic Search: Enables searching through stored vectors based on query similarity.
• Similarity Calculation: Computes cosine similarity between texts.
• Caching: Optimizes performance and reduces costs by caching embeddings.
• Use Case: Quickly find documents related to "trading strategies" by generating embeddings for your document collection and then performing a semantic search.

Quick Start

Use the embeddings skill to generate an embedding for the text "What is AI?".