Multi-Modal Embeddings
Discover how to work with embeddings generated from multiple data types like images, audio, and video for rich search experiences.
Unlocking Multi-Modal Data
Welcome to Multi-Modal Embeddings! So far, we've mostly focused on text, but the real world is rich with different types of data.
Imagine searching for 'a happy dog' and getting not just text descriptions, but also images, videos, and even audio clips of dogs barking happily. That's the power of multi-modal embeddings!
Why Go Beyond Text?
While text embeddings are powerful, they only capture information from one 'sense'. Most real-world data isn't confined to a single format.
- Richer Context: An image speaks a thousand words, an audio clip adds emotion.
- Diverse Queries: Search an image with text, or find related text from a video.
- Holistic Understanding: AI systems can 'understand' concepts more completely.
All lessons in this course
- Hybrid Search: Vector + Keyword
- Multi-Modal Embeddings
- Emerging Vector DB Technologies
- Agentic Retrieval & Memory