Six data shifts that will shape enterprise AI in 2026

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
IEEE

Enhancing Vector based Retrieval Augmented Generation with Contextual Knowledge Graph Construction

Abstract: The proliferation of unstructured text data necessitates efficient information retrieval systems. Traditional vector-based Retrieval Augmented Generation (RAG) models often fail to capture ...
EurekAlert!

Accelerated streaming subgraph matching framework is faster, more robust, and scalable

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...
GitHub

Graph RAG and Hybrid RAG Workshop

The dataset used in this workshop is the BlackRock founders dataset, which are three small text files containing information about the founders of the asset management firm BlackRock. The aim of the ...
IEEE

Development of a Chat History Analysis Module Using Advanced Machine Learning Models and Vector Databases for Digital Forensic Tools

Abstract: Instant messaging has become a cornerstone of modern communication, playing a significant role not just in daily interactions but also in areas like digital forensics. This paper introduces ...