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Open-source implementation of AlphaEvolve
Tongyi Deep Research, the Leading Open-source Deep Research Agent
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
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Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
One has no future if one couldn't teach themself.
Provide a set of study guides for us in the new era
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"