What is Embeddings?
Numerical representations of text that capture semantic meaning for AI processing.
Definition
Embeddings convert text into vectors (lists of numbers) that capture semantic meaning. Similar concepts have similar embeddings, enabling semantic search, clustering, and RAG systems. They're fundamental to how AI understands and compares text.
Examples
Why It Matters
Embeddings power semantic search and RAG, enabling AI to find relevant information based on meaning.
Related Terms
Common Questions
What does Embeddings mean in simple terms?
Numerical representations of text that capture semantic meaning for AI processing.
Why is Embeddings important for AI users?
Embeddings power semantic search and RAG, enabling AI to find relevant information based on meaning.
How does Embeddings relate to AI chatbots like ChatGPT?
Embeddings is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: Finding similar documents Understanding this helps you use AI tools more effectively.
Related Use Cases
AI Models Using This Concept
See Embeddings in Action
Council lets you compare responses from multiple AI models side-by-side. Experience different approaches to the same prompt instantly.