The Fast Vector Similarity Library is a high-performance Rust-based tool for efficiently computing similarity measures between vectors. It is ideal for data analysis, machine learning, and statistical ...

Programmers learning Rust struggle to understand own ership types, Rust’s core mechanism for ensuring memory safety without garbage collection. This paper describes our process of systematically ...

Is China picking back up the open source AI baton? Z.ai, also known as Zhupai AI, a Chinese AI startup best known for its powerful, open source GLM family of models, has unveiled GLM-5.1 today under a ...

The client uses gRPC via the Tonic library. To change anything in the protocol buffer definitions, you need the protoc Protocol Buffers compiler, along with Protocol Buffers resource files. Refer to ...

Modern AI applications - from large language models (LLMs) and semantic search to RAG (retrieval-augmented generation) - rely on vector representations of data. Unlike keyword-based search, vectors ...

Azure HorizonDB introduces cloud-native PostgreSQL with disaggregated compute and storage for faster scaling and failover. HorizonDB’s Rust-based storage engine improves security, reliability, and ...

Looking at programming languages, it seems that for a long time, safety or reliability was considered an afterthought, usually covered later in tools such as testing and static analysis, rather than ...

When Rust 1.0 was released ten years ago, it was accompanied by a promise: the compiler should still be able to translate any code written with version 1.0 decades later with current Rust versions.

After developing a local AI Agent I faced the issue of extreme hallucinations. In order to solve it, one of the best solutions I found was to use Vector Databases coupled with your AI Agent. This ...