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What is Embedding?
An embedding is a numerical representation of text (or other data) that captures its meaning, letting AI systems compare and search by similarity.
Embeddings are how AI 'understands' that two differently-worded sentences mean the same thing — the foundation of semantic search and RAG.
kenai introduces embeddings for teams ready to build AI on top of their own knowledge base.
Related terms
Retrieval-Augmented Generation (RAG) →
Retrieval-Augmented Generation (RAG) is a technique that lets an AI model answer using your own documents and data, retrieving relevant information before generating a response.
Large Language Model (LLM) →
A Large Language Model (LLM) is an AI system trained on vast amounts of text to understand and generate human language, powering tools like Claude and ChatGPT.
Fine-Tuning →
Fine-tuning is further training an existing AI model on your own examples so it adapts to a specific style, domain or task.