Traditional RAG typically retrieves relevant text from a vector database and supplies it to an LLM as context. Automation ...

The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

Pinecone Systems Inc., an artificial intelligence infrastructure company providing fully managed vector databases, Wednesday ...

CLPS Incorporation (the "Company" or "CLPS") (Nasdaq: CLPS) today announced the launch of Athena, its enterprise AI knowledge assetization project designed to enhance operational efficiency, improve ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

TwelveLabs Inc., the developer of generative artificial intelligence foundation models that can understand videos like humans, today announced it has raised $100 million in early ...

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

OceanBase today announced the release of OceanBase AI Database, a comprehensive portfolio designed to enable enterprises to ...

OpenAI is moving away from models that require heavy hand-holding and toward systems that can better infer the user’s goal, ...

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 ...

A few years ago, vector databases were a niche concern for a small group of machine learning engineers. Now they appear in architecture diagrams, vendor pitches, and technical job descriptions across ...