Lyzr Inc., a startup that helps enterprises build artificial intelligence agents, is reportedly raising a funding round worth ...

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

As Couchbase launches its AI Data Plane, the more interesting question is whether the NoSQL-era strengths it built for ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Abstract: Nowadays, the data used for decision-making come from a wide variety of sources which are difficult to manage using relational databases. To address this problem, many researchers have ...

FEATURE Today Postgres is one of the most widely used database systems, but its launch and subsequent development were inauspicious to say the least. If it weren’t for a league of exceptionally ...

Abstract: As organizations increasingly rely on collaborative relational analytics over private databases, secure multi-party computation (MPC) has emerged as a key solution to process private data.

Irresistible force, meet immovable object. Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as Anthropic, OpenAI, and GitHub shift ...