Skip to content Skip to sidebar Skip to footer

Vector Database

The launch of sqlite-vec v0.1.0 has been announced. This movable vector database extension is compatible with SQLite, with the capacity to support a million 128-dimension vectors. It also supports binary quantization and includes an expansive selection of SDKs.

Alex Garcia recently released sqlite-vec v0.1.0, a SQLite extension written in C that brings powerful vector search capability to the SQLite database system. Available under the MIT/Apache-2.0 dual license, the extension pairs versatility with accessibility, making it a highly valuable tool for developers across different platforms and environments. The new sqlite-vec extension enables vector search functionality…

Read More

Qdrant has introduced BM42: a state-of-the-art, purely vector-based hybrid search algorithm that enhances RAG and AI applications.

Qdrant, a pioneer in vector search technology, has unveiled BM42, a powerful new algorithm, aimed at transforming hybrid search. BM25, the algorithm relied upon by search engines like Google and Yahoo, has dominated for over 40 years. Yet, the rise of vector search and the launch of Retrieval-Augmented Generation (RAG) technologies have revealed the need…

Read More

The Comprehensive Handbook on Vector Databases: Applications and Effect on Various Sectors

Vector databases have emerged as a significant change in the field of data management and retrieval, revolutionizing how businesses and tech enthusiasts handle complex, high-dimensional data. Unlike traditional databases that deal with simple values such as integers or strings, vector databases are capable of performing operations on complex and unstructured data points in a multi-dimensional…

Read More