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 open-source framework designed to build intelligent search and research agents with capabilities for deep web search, content extraction, and comprehensive answer generation.
A practical guide for building production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph, ideal for developers looking to move AI prototypes to production environments.
An open-source financial trading framework utilizing multi-agent LLM systems. It simulates the dynamics of a real-world trading firm by deploying specialized AI agents—ranging from fundamental and sentiment analysts to traders and risk managers—who collaborate to analyze market data and formulate trading strategies, primarily designed for research purposes.
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