
hRAG · Retrieval with receipts
Self-hosted hybrid RAG on a €116/month cluster — Postgres, BM25, vectors, a reranker, and a public benchmark score for every claim.
victor_edka · HN
HRAG – Hybrid RAG on €116/month of Hetzner, officially benchmarked
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Self-hosted hybrid RAG on a €116/month cluster — Postgres, BM25, vectors, a reranker, and a public benchmark score for every claim.
victor_edka · HN
HRAG – Hybrid RAG on €116/month of Hetzner, officially benchmarked

RAG驱动的聊天系统,支持图像生成和模型路由。
@Aliasistx · X
researching and developing RAG systems for agentic Graph coming on the horizon.

AI 代理的统一上下文层,集成邮箱、Drive、Slack、Notion 和 GitHub。
@marcin_u2 · X
-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

用 RAG 技术研究调查最新的诈骗骗局。
u/King_Kazma · Reddit
whatsthegrift.com - a RAG research tool for today's grifters every day i feel like there's a new grift attached with some news article, which naturally birthed the idea to built something to investigate & visualize them examples: https://whatsthegrift.com/q/777063a64e512565 https://whatsthegrift.com/q/e5945d20375ed3ff and my personal favorite so far: https://whatsthegrift.com/q/f43eb30a15342d53 react (vite) + node (fastify) + brave search (retrieval) + claude haiku (extraction)

为AI agents提供记忆基础设施来存储和检索信息。
memcode-in · GitHub
memcode Memcode: #1 Memory Layer for AI agents, Building Memory infra for every use case

AI驱动的搜索引擎,为您提供来自可信来源的精准答案。
u/Redshankscommune1 · Reddit
Building an AI search engine instead of another chatbot I've been building an AI-powered search engine over the last few months as a side project. The idea came from noticing that I'd often Google something, open several tabs, then copy everything into an AI tool to get a useful answer. It felt like there was an unnecessary step in the process. The goal isn't to replace the web, but to make research faster by generating structured answers with citations and giving users the option to see

压缩LLM提示词和文档以降低token使用和API成本
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️


为AI代理提供经济实惠的内存存储层。
@AudaxicTech · X
Memory for AI agents, most affordable in the industry

即时部署您的vibe-coded应用,自带数据库、文件存储和实时交互。
@Fusekit_cloud · X
Especially when that vibe coded app is internal and hyperspecific to your needs! Try to deploy your vibe coded apps and automatically get a full database, file storage, realtime interactions and many morr thing! Free to start without a credit card right now :)

存储提示词和背景信息,通过 MCP 让 Claude Code、Cursor 等 AI 工具共享访问。
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

搜索索引化的开源代码和软件包,包含版本、依赖和漏洞信息。
@Jack_Timonen · X