Intermediate35 min
Working with Embedding Models
Use embedding models for semantic search and similarity
Last updated: 2024-12-27
Prerequisites
- Vector concepts
- Python
- Basic ML knowledge
1. Choose Embedding Model
Select between sentence-transformers, OpenAI embeddings, or custom models.
2. Generate Embeddings
Create vector representations of text, images, or other data types.
3. Implement Similarity Search
Use cosine similarity or other distance metrics to find related items.