An embedding is the numerical representation of a piece of content (word, sentence, document, image) as a vector that captures its meaning: two semantically similar contents have similar vectors. It is the bridge between language and computation, underlying semantic search and RAG.
In practice at Gensai
Gensai vectorises its clients' documents to enable meaning-based search in its answer engines.
Going beyond the definition?
From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.
Related services: Answer engines
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