What is Semantic Search?
Semantic Search is an AI-powered Search that understands user intent using a combination of Foundation or Large Language Models such as GPT-4 and an Information retrieval system such as Amazon Comprehend or Azure Cognitive Search to provide meaningful insights from silos of data. It can be used to analyse and classify the contents of documents. Language models enable Semantic Search to understand human language and go beyond the direct query matches, providing results that align with what the user might have in mind while searching for the query.
How can Semantic Search make a difference to your businesses?
Most organisations have a huge corpus of data which is often siloed in their data repositories. Being able to search at speed through this corpus of documents would lead to increased business efficiencies. A GPT/Large language based Semantic Search solution that allows the user to search in their own language creates a user-friendly information retrieval experience. The power of modern translation engines means that answers can be given in multiple languages, improving accessibility and accelerating globalisation or new market establishment.
Advancements in AI language capabilities have seen a surge in Version 1 helping customers benefit from enhanced semantic search in both public and private data scenarios and making these easily accessible via simple interfaces.