InfoQ

Building Embedding Models for Large-Scale Real-World Applications

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...
blockchain

Hybrid Retrieval in Production RAG: Combining Vector Search and Graph Traversal for Advanced AI Applications

According to @godofprompt, leading AI systems at frontier labs are utilizing hybrid retrieval by integrating vector search for broad initial matching and graph traversal for deep contextual ...
blockchain

Graph-Enhanced RAG Surpasses Vector Search: 7 Practical AI Applications and Business Opportunities

According to @godofprompt, leading AI engineers at OpenAI, Anthropic, and Microsoft are shifting from traditional RAG (Retrieval-Augmented Generation) systems to graph-enhanced retrieval methods, ...
Scientific Research Publishing

Xu, H.Q., Zou, Y.S., Zhang, M.Q., et al. (2022) The Application Effect of a Self-Made Medical Abdominal Injection Projection Flashlight in Insulin Injection Site Rotation ...

ABSTRACT: Objective: This study aims to investigate the current status of knowledge, attitudes, and practices regarding insulin injection site rotation among young and middle-aged patients with type 2 ...
IEEE

Continuous Authentication in IoT-based Smart Home Application: A Survey and a Design Framework Using Vector Similarity Search

Abstract: Consumer electronics (CE) in Internet of Things (IoT)-based smart home applications are rapidly growing and used as a daily life part. Authentication has been utilized for decades to secure ...
IEEE

Probabilistic Reduced-Dimensional Vector Autoregressive Modeling for Dynamics Prediction and Reconstruction with Oblique Projections

Abstract: In this paper, we propose a probabilistic reduced-dimensional vector autoregressive (PredVAR) model with oblique projections. This model partitions the measurement space into a dynamic ...