At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows ...
Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.
Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.
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 ...
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 ...
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 ...
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 ...
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