
ContextIQ — AI Context Engineering Suite for AI Engineers
检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X
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28 projects

检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X

Almanac - 从文件构建自动更新的团队知识库,带来源引用。
reveriedev · HN
Almanac – A self-updating wiki from your files

为LLM输出提供token级引文API,通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

从中央知识库生成文档、帮助中心、聊天机器人和AI搜索工具。
u/Glittering_Stage4118 · Reddit
Building a company brain that can host any interface I’ve always felt like company knowledge is way too fragmented. Docs live in one place, support answers in another, marketing content somewhere else, and internal know-how is usually buried across tools, Slack threads, and old pages. Even when companies have the knowledge, turning it into the right interface for the right audience is still way too hard. I’ve been building Sophic to solve exactly that. At its core, Sophic

为AI代理提供隐私优先的搜索API,支持匿名访问和结构化输出。
chrismessina · Product Hunt
AnySearch Real-time structured search trusted by agents and developers

提问关于《圣经》的问题,获得每个论点都有引用经节支持的答案。
u/zx9rams · Reddit
I built a Bible tool designed so the AI can't just make things up. I've been building this for a while and the part I actually care about is the architecture, because an AI that reads the Bible is exactly the thing nobody should trust by default. So its built the opposite way, the model is treated as untrusted and the code owns every real decision. every quote is checked word for word against the Hebrew and Greek before it shows, so the model cant paraphrase scripture into an answer eve

为AI代理提供持久记忆和知识,支持文件、URL和MCP工具原生集成。
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

文档解析 API,准确提取表格、公式和结构化数据给 AI 代理。
g418572664 · V2EX
做了一个文档解析与记忆工具,专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的,就像大佬们说的,“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ,说要用 AI 赋能传统行业啥的,代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子,金融行业的“智能审计与尽调 Agent”。 过去,银行或投资机构想要给一家企业贷款或投资,需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ,但把文件一股脑全丢给它是不现实的,且不说烧 token 的问题,这些文档里有无数的跨行、跨列单元格表格,普通工具一拉,表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块,那得出的财务分析就完蛋了。 所以,现在要真想开发出一个能干活,还确保正确率的 agent ,就需要一个专业的、AI-native 的解析工具,把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的: https://knowhereto.ai/?utm_source=v2ex 它能把复

AI驱动的IT团队回顾工具,连接各类工具并识别改进模式。
@akadhanu · X
an ai sprint retrospectives for it teams (

从评价提取真实客户语言,排序为广告角度和钩子
@buildingadlicio · X

AI助手从团队共享上下文中回答问题,并提供信息源。
@nav_ux · X
Get your whole team's AI on the same page.

用于数据分析和文档提取的 No-code 平台。
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!