This repository contains the transformed version of the LEARN_VESPER tutorial, reimagined to make 3D semantic vector databases EASY for working professionals. ├── project_tutorial/ # Original tutorial ...

An educational Jupyter notebook demonstrating semantic search using sentence embeddings. This project shows how to use pre-trained transformer models to find semantically similar documents based on ...

The development of database technology is one of the defining achievements of the information technology era. It not only has been the key to dramatically improved record-keeping and business process ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more. Since 2013, Google has been gradually developing into a 100 ...