Personalized retrieval seeks to retrieve items relevant to a user event (e.g. a page visit or a query) that are adapted to the user’s personal preferences. For example, two users who happen to perform ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...

This project by Vincent Koc implements a Retrieval-Augmented Generation (RAG) based Question-Answering system for documents. It uses Llama 3, Mistral, and Gemini models for local inference with LlaMa ...

Abstract: Phase retrieval (PR) is fundamentally important in scientific imaging and is crucial for nanoscale techniques like coherent diffractive imaging (CDI). Low radiation dose imaging is essential ...

Abstract: Searching the useful videos rapidly and accurately is a tedious task if a user wants to search videos from the large repositories. Content-based retrieval is a better option than other ...