EDGE OSDEFINITION
Embedding models are AI models that take text, images, audio and more to convert them into numerical values called Embeddings. This allows computers to see patterns in the information and compare different pieces based on their semantic similarity. They are commonly used in semantic search, recommendation systems, clustering and RAG to find relevant information.
Importance
- Helps you find information based on meaning.
- Helps you find relevant documents inside large sets of data.
- Find similar products, articles or knowledge.
- Provides the base for many RAG or recommendation use cases.
- Can cluster based on vector data.
Embedding Model Use Cases
- AI Knowledge Search
- Finding documents from RAG applications.
- Recommending similar products on E-Commerce platforms.
- Finding duplicate or similar content.
- Grouping customer feedback based on topics.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.