
Omnichannel Agentic RAG Platform | Ambuj Kumar Tripathi
金融文件解析器,由智能RAG和网络搜索驱动。
ambujkt · HN
11-Node Agentic RAG with MCP and PII Shield Under 512MB RAM
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17 projects

金融文件解析器,由智能RAG和网络搜索驱动。
ambujkt · HN
11-Node Agentic RAG with MCP and PII Shield Under 512MB RAM

Convert PDF, DOCX, XLSX, CSV, JSON, XML, HTML, Images to clean Markdown optimized for AI Agents, RAG, and Vector DBs. 100% Privacy-First, In-Browser Conversion.
@13SahajChawla · X
For professionals to redact their client's sensitive informations before giving AI to process it & while converting any kind of document to a structured MD file. Better quality outputs, 100% privacy with on-browser local processing, and fully free!

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 :)

The job board for AI developers — RAG, agents, evals, inference. First-party roles pulled nightly from company career sites.
alastairr · HN
Job board and MCP server for AI developers


为技术文档创建 AI 助手,立即回答用户问题。
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig

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

从单一面板管理多个注册商的DNS、SSL、续费和域名所有权。
@itstarun1994 · X

在您的文档中嵌入 Lens AI,获得即时语音和文本答案。
k7vin · HN
Lens AI – generate your JSON-LD files and keep them up-to-date

将您的文档转化为AI知识库,快速生成带来源的答案。
@tim_edgert · X
Launched Echo — an AI tool that turns your agency's scattered docs into instant, cited answers

整理笔记和文集,提问查询,生成播客和学习资料。
mistakevin · HN
I've been working on https://notebooker.ai if anyone is interested in giving some feedback. I tried to post a Show HN yesterday with details about how I built it, but was auto-flagged and not sure what rules I broke. Everything that I've built on top of open-notebook, like the plugin system for your own "creators" (aka, podcasts, infographics, etc) is at https://github.com/Notebooker-ai plus a Cloudflare Worker AI deployer to play with different models. Been working on it for about six months.