Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...

This project is a Retrieval Augmented Generation (RAG) Streamlit application backed by txtai. Retrieval Augmented Generation (RAG) helps generate factually correct content by limiting the context in ...

Google’s Robby Stein shares new details about the query fan-out technique in AI Mode, explaining how Google generates and executes its own queries. Google’s query fan-out technique issues multiple ...

AI is streamlining onboarding processes for companies of various sizes. At Hitachi and Texans Credit Union, AI saves time and boosts engagement in the new-hire experience. This article is part of "AI ...

A set of vertices with each vertex having zero or more labels and zero or more properties/attributes. A set of edges with each edge being directed from one vertex to another vertex. Each edge has zero ...

OpenAI’s recently unveiled o3 model is purportedly its most powerful AI yet, but with one big drawback: it costs ungodly sums of money to run, TechCrunch reports. Announced just over a week ago, o3 ...

With graph reachability query, one can answer whether there exists a path between two query vertices in a given graph. The existing reachability query processing solutions use traditional reachability ...

Retrieval-augmented generation (RAG) is a method that integrates external knowledge sources into large language models (LLMs) to provide accurate and contextually relevant responses. These systems ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...

The Graph Network reached 1.95 billion monthly queries in July 2024, an 11-fold increase from July 2023. This growth follows the network’s transition to a decentralized structure, part of the “Sunrise ...