Geeky Gadgets

How to build a Retrieval-Augmented Generation (RAG) system

Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...
TMCnet

OpenSearch Named a Leader in GigaOm Radar for Vector Databases as Research Shows Hybrid Search Becomes Critical for AI

According to GigaOm, vector databases deliver quantifiable operational improvements such as 40-60% enhancement in search relevance and a 30-50% reduction in infrastructure costs through consolidation ...
Virtualization Review

Running AI on a Raspberry Pi, Part 1: Overview

This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.
ascopubs.org

Implementing a retrieval-augmented generation-based large language model to guide oncologists in searching for FDA-approved therapies for patient treatment planning.

Development and validation of an AI model for predicting germline BRCA1/2 mutations from HR+/HER2- breast cancer histology images.

POMA AI Achieves Best-in-Class RAG Chunking and Document Ingestion With 77% Token Reduction vs. Conventional Models

Out of the box,POMA PrimeCut uses 77% fewer tokens than conventional models. The figure rises to 83% when used in customized configurations.

Mistral Forge Makes A Case For Enterprise-Owned AI

Mistral AI’s new Forge platform is positioned as a system that lets enterprises build frontier-grade models grounded in ...