Semantic search
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Search complete. 4 mentions across 3 episodes found for "Semantic search".
Oct 5, 2026
Jeff AltmanHOST
Listen, gone are the days when a recruiter just typed a job title into a search bar and looked for an exact match.
Jeff AltmanHOST
LinkedIn now uses semantic search.
Jeff AltmanHOST
This is an LLM-powered matching engine, and it evaluates your profile based on the semantic relevance of your skills and context.
Jeff AltmanHOST
It's looking for relationships between your skills, the tools you use, and your job functions.
Olivier DobberkauGUEST
This is something that if you look closely, we had an opportunity many, many years ago.
Olivier DobberkauGUEST
I think at that time it was not right, but now we find it very interesting to see that people are actually discovering TYPO3 a very very strong with a lot of features CMS out of the box so that is pretty nice and in regards of what DKD has been doing with for TYPO3 we integrated Solar Search, that is like an open source search engine for TYPO3 many, many years ago.
Olivier DobberkauGUEST
We've been keeping it up to date.
Olivier DobberkauGUEST
We found a way on how we can fund open source development in a group of, you know, I would call them partners or sponsoring partners.
Olivier DobberkauGUEST
But let's see if we have some people having questions about that.
Olivier DobberkauGUEST
Awesome.
Chris BryceHOST
Well, we titled the show today, Search is the Interface, which can provoke a lot of interesting thoughts.
Chris BryceHOST
But maybe give us your take on that and why that's resonating as a phrase and how that kind of calibrates into how we're approaching search in the industry.
Kalliopi TerzidouGUEST
Embeddings convert both user questions and documents into numerical representations that reflect their meaning, allowing the system to identify similarities beyond exact word matches.
Kalliopi TerzidouGUEST
Semantic Search uses these embeddings to retrieve the most relevant pieces of information from a large collection of texts.
Kalliopi TerzidouGUEST
Finally, retrieval-augmented generation brings these parts together.
Kalliopi TerzidouGUEST
It takes the retrieved documents and provides them as additional context to the language model alongside the original question.