ahmad-ubaidillah/embedding-strategies

Embedding Strategies

Guide to selecting and optimizing embedding models for vector search applications.

Do not use this skill when

• The task is unrelated to embedding strategies
• You need a different domain or tool outside this scope

Instructions

• Clarify goals, constraints, and required inputs.
• Apply relevant best practices and validate outcomes.
• Provide actionable steps and verification.
• If detailed examples are required, open resources/implementation-playbook.md.

Use this skill when

• Choosing embedding models for RAG
• Optimizing chunking strategies
• Fine-tuning embeddings for domains
• Comparing embedding model performance
• Reducing embedding dimensions
• Handling multilingual content

Core Concepts

🧠 Knowledge Modules (Fractal Skills)

1. 1. Embedding Model Comparison

2. 2. Embedding Pipeline

3. Template 1: OpenAI Embeddings

4. Template 2: Local Embeddings with Sentence Transformers

5. Template 3: Chunking Strategies

6. Template 4: Domain-Specific Embedding Pipeline

7. Template 5: Embedding Quality Evaluation

8. Do's

9. Don'ts