Embeddings

Learning Outcomes

• Embedding models and generation
• Similarity search and retrieval
• Indexing and optimization strategies
• Scaling vector operations

Introduction

Learn about embeddings, their importance in AI/ML, and how to implement them effectively.

Core Concepts

• Embedding & Chunking
• Embedding Models
• Indexing
• Chunking

References

• How to select an embedding model
• Advanced chunking techniques