Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...

Everyone is worried about AI ethics, but few are talking about AI economics. AI is not a deploy-and-forget asset. It is a depreciating one.

Index tuning is critical for the performance of modern database systems. Industrial index tuners, such as the Database Tuning Advisor (DTA) developed for Microsoft SQL Server, rely on the”what-if”API ...

Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

The race to build autonomous AI agents has hit a massive bottleneck: data. While frontier models like Claude Code and Codex CLI have demonstrated impressive proficiency in terminal environments, the ...

I had an interesting conversation with my son Tristan the other day. Because he’s so engrossed in his PhD research in machine learning at Simon Fraser University, I often try to steer our discussions ...

100% coverage. Six frameworks. Four domains. Corpus OS: first production-grade protocol for true interoperability across any framework or provider. Six frameworks that couldn’t talk to each other.

Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...

A Go library for converting natural language queries into database queries (SQL or NoSQL) using embeddings and LLM-powered query generation. Query any database type using plain English. Go-NL2Query is ...