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Source channel @githubtrending · Post #15518 · Feb 24

#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector

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@JianjiaoPD · Post #10927 · 05/12/2026, 03:34 AM

✈️ 开发者自荐 | TradingAgents:把股票代码发给 Bot 让 AI 进行分析 🏷 检索标签:#TradingAgentsTelegram#TradingAgents#TGBot#股票分析#AI#股票 ⭐️ 详情介绍:TradingAgents-Telegram 是一个基于 TradingAgents 的 TG Bot 项目,发股票代码给 Bot,就能看 AI 对股票、市场情绪和观点做分析。适合已经在看 TradingAgents,但不想每次都打开 Terminal 的人,聊天式操作比命令行会轻便很多 分析内容还能通过 Telegraph 输出,分享和回看都方便一些;且支持 自己docker compose部署 📖GitHub·TradingAgents ✈️ 来源:@IvanWng97 开发者投稿 😌频道 |🙂群聊 |😋中文包 |☺️搜索