Vector data is at the heart of modern AI-powered features: semantic search, recommendation engines, RAG (Retrieval-Augmented Generation) pipelines, an...
Search Results for: semantic search
Showing 1-10 of 15 results
If you missed our recent webinars, now is a good time to catch up. These sessions go beyond product overviews. They show practical ways to bring AI, ...
4D Blog has become much more than a place for product announcements. Over the years, it has grown into a rich library of technical articles, tutorial...
4D 21 R2 is now officially available, bringing together a set of improvements that make it easier to build smarter, more modern applications without c...
When working on a large 4D application, it is common to split functionality across a host project and several components. This modular architecture ke...
In the Semantic search: querying by vector similarity post, we introduced how to query entities using vector similarity, a powerful way to find the mo...
With the growing importance of vector-based search in AI applications such as semantic search, recommendation engines, and natural language processing...
Search by Meaning, Not Metadata: Semantic Image Filtering with 4D.Vector
September 8, 2025
9 min read
Your users don’t think in filenames or folder hierarchies. They think in ideas. “A robot painted in watercolor.” “A sunny beach filled with colo...
In many 4D business applications, documents are everything — technical notes, reports, manuals, internal guides. But when users can’t remember the exa...
You ask a question. Your system gives you keyword matches — close, but not the answer. The real insight? It’s buried in a doc, phrased differently, or...