InfoWorld

How to build an AI agent that actually works

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

[Ends March 11] Unlocking Data with Generative AI and RAG eBook (worth $35.99) now free[Ends March 11] Unlocking Data with Generative AI and RAG eBook (worth $35.99) now free0 0

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.
GitHub

BustAPI — High-Performance Python Web Framework

BustAPI is a production-ready Python web framework that combines the best of both worlds: Python's simplicity and Rust's raw performance. Under the hood, BustAPI runs on Actix-Web — consistently ...
IEEE

Transforming Applied Behavior Analysis Therapy: An Internet of Things-Guided, Retrieval-Augmented Large Language Model Framework

Abstract: We propose ABA-RAG, a retrieval-augmented generation (RAG) framework specifically tailored for applied behavior analysis (ABA) interventions, which integrates real-time emotional and ...
IEEE

A Unified Evaluation Framework for Grounded LLM Architectures: Comparative Analysis of RAG, Self-RAG, and Agentic RAG

Retrieval-Augmented Generation (RAG) grounds large language models with external knowledge, while two recent variants—Self-RAG (self-reflective retrieval refinement) and Agentic RAG (multi-step ...
GitHub

Illusion-Resistant Document-Centric Conversational Framework using Fusion RAG

Fusion RAG Doc Chat is an advanced conversational AI framework designed to provide reliable, context-aware, and hallucination-resistant responses from uploaded documents using Fusion ...