An AI research assistant plugin that deeply integrates LLMs into Zotero, featuring paper chat, multi-paper comparison, Agent Mode for automated literature management, and note export to Obsidian/Logseq.
An enterprise-grade research agent built on NVIDIA NeMo Agent Toolkit, supporting shallow fast Q&A and deep multi-step research with auto-generated long-form reports with citations.
A teaching-oriented multi-agent framework (PicoAgents) with a companion book, covering the full path from building LLM agents from scratch to production deployment, with 50+ examples, DAG workflow engine, autonomous orchestration, Computer Use Agent, and evaluation framework.
A modular Python toolkit developed by the University of Innsbruck that integrates information retrieval, re-ranking, and RAG generation, featuring 40+ pre-processed datasets and single-line pipeline construction.
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models, capable of refining its research direction over time and diving deeper into subjects.
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