What similarity metrics are recommended?

The skill provides implementation patterns for cosine similarity, which is the standard metric for measuring semantic distance between high-dimensional text vectors.

Which embedding models does this skill support?

It supports OpenAI's text-embedding-3 models (small and large) as well as local models like nomic-embed-text via Ollama for local or CI/CD environments.

Can I use this for local development?

Yes, it includes patterns for local-first embedding generation using Ollama to reduce API costs and improve data privacy during development.

Does it support efficient bulk processing?

Yes, it includes advanced patterns for batch API calls (100-500 texts) with built-in rate limiting and retry logic for production environments.

How does this skill handle large documents?

The skill provides specific chunking strategies with configurable sizes (typically 512 tokens) and 10-20% overlap to maintain context across chunks.

Embeddings Integration

Name: Embeddings Integration
Author: yonatangross

byyonatangross

•

数据科学与机器学习

Implements high-performance text embeddings for semantic search, document similarity, and vector database integration.

This skill provides Claude Code with the domain expertise needed to implement robust text-to-vector pipelines within your codebase. It includes production-ready patterns for both industry-standard OpenAI models and local alternatives like Ollama, optimizing for both cost and accuracy. Developers can leverage this skill to handle complex chunking strategies, efficient batch processing, and similarity calculations, ensuring high-quality retrieval for RAG (Retrieval-Augmented Generation) applications and semantic discovery features.

主要功能

01Text-to-vector conversion patterns

02Local embedding support via Ollama

03Batch processing and rate-limit handling

0469 GitHub stars

05Cosine similarity implementation guides

06Advanced chunking and overlap strategies

使用场景

01Building RAG pipelines for document retrieval

02Clustering similar content for recommendation engines

03Implementing semantic search in web applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit embeddings

For use in Claude.ai and ChatGPT

Download Skill