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Semantic search

Data & retrieval

Semantic search retrieves content by meaning rather than by exact keywords: a query about “paid leave” will surface a document mentioning “holiday entitlement”. It relies on embeddings and vector databases, and is the first step of any RAG pipeline.

In practice at Gensai

It is the foundation of the natural-language property search engine built by Gensai.

Going beyond the definition?

From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.

Related services: Answer engines

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