Vector databases are explicitly designed to store and manage vector data, playing a crucial role in many AI applications, such as semantic text search and image search. While traditional term matching ...

In our previous blog, we explored how combining vector search with reranking methods addresses inherent limitation ...

As one of our earlier blog posts explored, vector search significantly advances information retrieval with a more nuanced and contextually aware appr ...

MyScale recently introduced the EmbedText function, a powerful feature that integrates SQL queries with text vectorization ...

Imagine you're a software developer looking for database optimization techniques, especially to boost the efficiency of queries in large-scale databases. In a traditional SQL database, you might use k ...

LlamaIndex is a data framework designed for implementing applications using Large Language Models (LLMs), simplifying parsing, storing, and retrieving various types of document data, and adding immense value to ...

Vector databases offer lightning-fast retrieval on similar objects stored in between billions of records. However, you may also be interested in searching for related objects that match a specific set ...

Founded in 2011, Testin is an enterprise service platform that provides two main services: a cloud testing service for developers, ...