How does this skill handle long documents?

It includes customizable chunking strategies with configurable sizes and overlaps to ensure semantic context is preserved during the vectorization process.

Can I use this for local development to avoid API costs?

Yes, the skill includes configurations for local embeddings using Ollama, which is ideal for development, CI/CD, and privacy-sensitive applications.

Does it include similarity calculation methods?

Yes, it provides optimized Python patterns for calculating cosine similarity between vectors to rank results by semantic relevance.

What embedding models are supported by this skill?

The skill provides implementation patterns for OpenAI's text-embedding-3 models (small and large) as well as local options like nomic-embed-text via Ollama.

Semantic Embeddings & Vector Search

Name: Semantic Embeddings & Vector Search
Author: yonatangross

byyonatangross

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Data Science & ML

Converts text into high-dimensional vector representations for semantic search, document similarity, and RAG pipelines.

This skill empowers developers to implement advanced semantic search and similarity features by converting text into dense vector embeddings. It provides standardized patterns for choosing models (like OpenAI or Ollama), implementing efficient chunking strategies, and calculating cosine similarity. Whether you are building a Retrieval-Augmented Generation (RAG) system or an intelligent document search engine, this skill offers production-ready code snippets and best practices for managing vector data and optimizing costs through batching and local model deployment.

Key Features

0169 GitHub stars

02Optimized text chunking and overlap strategies

03Vector similarity calculation and normalization techniques

04Standardized text-to-vector conversion patterns

05Model selection guidance for OpenAI and Local Ollama

06Efficient batch embedding for large-scale datasets

Use Cases

01Identifying similar content or duplicates in large datasets

02Implementing semantic search in document management systems

03Building RAG pipelines for AI-powered knowledge bases

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