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 ...
Abstract: With the rapid advancements in machine translation (MT), large language models (LLMs) have demonstrated the ability to generate high-quality translations with relatively low computational ...
A 2026 Gold Standard Python-based Retrieval-Augmented Generation (RAG) system for querying BakkesMod SDK documentation. Built for autonomous AI agents with enterprise-grade observability, cost ...
AI Overviews, which place generated answers directly at the top of search results, are improving the search experience for users. For businesses that rely on content to drive traffic from search ...
One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...
From agentic intelligence to AI trust frameworks, Mindbreeze experts highlight the technologies transforming enterprise operations and decision-making Mindbreeze, a leading global provider of AI-based ...
What if your AI agent could not only answer your questions but also truly understand them, navigating complex queries with precision and speed? While the rise of vector search has transformed how AI ...
As a world leader in connected LED lighting products, systems, and services, Signify (formerly Philips Lighting) serves not only everyday consumers but also a large number of professional users who ...
A RAG-based retrieval system for air pollution topics using LangChain and ChromaDB. 📄 QuestRAG: AI-powered PDF Question Answering & Summarizer Bot using LangChain, Flan-T5, and Streamlit: A GenAI ...
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