Scientists’ Side Hustle? Using AI and Quantum Computing to Generate New Peptides

Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help ...
FedScoopOpinion

Turning defense workforce data into mission readiness

How AI-powered platforms move defense agencies from reactive staffing to predictive workforce planning and improved readiness ...
note

Reading zvec at the implementation level: Design and minimal Python implementation of an in-process vector DB

I want to use vector search without setting up an external server. There are surprisingly many requirements like that. When you don't want to bring in Docker at the PoC stage, want to embed search ...
GitHub

âš¡FlashRAG: A Python Toolkit for Efficient RAG Research

FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...
Hacker

From RAG to Agentic RAG: Building Agentic RAG system that runs completely offline.

A traditional offline RAG system works for straightforward question-answering effectively: a question goes in, relevant document chunks are retrieved, and an answer comes out. But real-world ...
Hacker

Designing Production-Ready RAG Pipelines: Tackling Latency, Hallucinations, and Cost at Scale

Retrieval-Augmented Generation (RAG) represents an advanced AI system that enhances Large Language Models (LLMs) through real-time knowledge integration from external sources [1]. The technique ...
GitHub

Multi-Agent AI Finance Assistant

The Multi-Agent AI Finance Assistant is an open-source platform designed to provide intelligent financial analysis and decision-making support using a multi-agent AI framework. Leveraging large ...