RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.

A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。企业级SaaS版本请访问：

An adaptive multi-agent system that extracts your literary DNA through conversation and generates actionable reading profiles.

Desktop app + OpenAI-compatible API that proxies LLM web UIs for unofficial integration of LLMs into SillyTavern and other clients.

Unlimited context on any LLM ✨在任何语言模型上使用无限的上下文窗口 | 顺便一提，我们没有股权纠纷 :)

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Moonshot idea to train ML model on synthetically generated data to detect and trace real asteroids.

Python SDK for Solana DEX trading — Pumpfun SDK (bonding-curve buy/sell), Moonshot SDK (quadratic-curve trading), and Raydium SDK (AMM V4, CPMM, CLMM swaps) in one repo.

🔍 Build a production-ready RAG system that combines LangGraph and MCP integration for precise, context-aware AI-driven question answering.

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The X-Force IGAVE Toolkit is a Python-based application that provides a visualization demonstration of various concepts related to innovation, market adoption, and emerging technologies.

📚 Extract your literary DNA through adaptive interviews to build personalized reading profiles for improved AI recommendations.

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