Embedding

An embedding is a numerical representation of a word, sentence, or document as a vector (a sequence of numbers). This technique allows AI to understand the semantic proximity between content. For example, the words "invoice" and "quote" will have similar vectors, enabling the creation of intelligent search engines across your internal documents.

Embeddings are the invisible building block behind intelligent search and high-performing chatbots. For an SMB, they enable instant retrieval of information buried in hundreds of documents, create smart FAQs, or detect duplicates. They are the key to unlocking the informational capital of your business.

We use embeddings in our AI chatbot and intelligent knowledge base projects. Our AI training programs cover this concept so you can understand how to structure your documentary data. We support your teams from theory to production, with use cases tailored to your industry.