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Together AI 开源客户洞察工具

Hassan 把 Together AI 内部开发并使用了 6 个月的 "客户洞察工具" 开源了! Open Customer Insights https://t.co/deD5OwnoXP 这...

精选理由

Together AI 开源了他们用了半年的客户洞察工具,能整合三类客户数据,还能通过 MCP 接入各种 AI 助手。

AI 摘要

Hassan 将 Together AI 内部使用 6 个月的客户洞察工具开源。该工具整合销售通话、支持工单和 Slack 频道三类数据,构建私有情报层。提供 Web 聊天界面和 MCP Server 两种访问方式,支持语义搜索、自动生成洞察和功能请求追踪。技术栈包括 Bun、AI SDK、NextJS、Convex、Clerk 和 Together Compute。

原文 · shao__meng

Hassan 把 Together AI 内部开发并使用了 6 个月的 "客户洞察工具" 开源了! Open Customer Insights https://t.co/deD5OwnoXP 这...

Hassan 把 Together AI 内部开发并使用了 6 个月的 "客户洞察工具" 开源了! Open Customer Insights github.com/Nutlope/open-c… 这个工具解决什么问题? B2B 公司的客户声音分散在三个地方:销售通话录音、支持工单、内部 Slack 等 IM 频道。它们各自封闭,没有人能一次性回答"客户最近在抱怨什么、最想要什么功能"。 Open Customer Insights 把这三类数据统一抓取、切块、做向量嵌入,放进一个可检索的"私有情报层",然后通过两种入口提供访问: · Web 聊天界面(面向人) · 带鉴权的 MCP Server(面向 Codex、Cursor、cc 等编码/助手类 agent) "Every customer signal. One clear answer." 正是这个结构的概括:上方四个信源(Calls/Tickets/Threads/Web),中间统一层,下方两个出口(web chat / mcp server)。 内部实际用法 1. 跨所有客户对话做语义搜索 2. 每日自动生成结构化洞察 3. 在一处集中追踪最高频的功能请求 4. 按指定主题生成月度报告 Hassan @nutlope 6 months ago, I started building an internal customer insights tool at Together AI. It pulls in our sales calls, slack channels, & support tickets and turns them into searchable customer insights. Today, I'm open sourcing it. Introducing Open Customer Insights. We use it internally to: ◆ search across customer conversations ◆ surface daily structured insights ◆ track top feature requests in one place ◆ generate monthly reports on specific topics It's become a tool that several people at Together use to keep up with and stay close to our customers. We use it through the web UI or the MCP server. The tech stack is: ◆ @bunjavascript for packages, scripts, & tests ◆ @aisdk for managing model calls & tool calling ◆ @nextjs for the web app and dashboard ◆ @convex for the database, vector search, & crons ◆ @clerk for user auth & MCP auth ◆ @togethercompute for open models & embeddings It also integrates with @Gong_io for calls, @usepylon for support tickets, @ExaAILabs for company enrichment, & @SlackHQ for channels. The code is available here: github.com/Nutlope/open-c… I hope it's useful to other teams that want to aggregate their customer data & get insights from it! Customize it however you'd like for your team. 🔗 View Quoted Tweet 💬 2 🔄 0 ❤️ 7 👀 1033 📊 4 ⚡