Weaviate出了个Query Agent，你直接问问题就能查数据库，不用写SQL，感觉比传统规则系统灵活多了。
Weaviate发布了Query Agent，支持在Playground中用自然语言进行欺诈检测数据探索。用户可提问如“哪些客户的交易有地址不匹配”，Agent自动生成跨Transactions、Customers、PhoneProducts三个集合的查询。它同时应用过滤、聚合和跨集合查找，实时返回结果并可查看底层查询。该工具能识别如可疑支付方式、地址不匹配等欺诈模式。
Fraud detection used to be slow, rigid, and blind to novel patterns. Here's what conversational dat...
Fraud detection used to be slow, rigid, and blind to novel patterns. Here's what conversational data exploration looks like instead. Powered by the 𝗪𝗲𝗮𝘃𝗶𝗮𝘁𝗲 𝗤𝘂𝗲𝗿𝘆 𝗔𝗴𝗲𝗻𝘁, our fraud detection demo inside the Weaviate Playground shows how natural language questions get turned into structured database queries, complete with filters and aggregations across multiple collections. Here's what happens under the hood: 1. You ask a plain-English question (e.g., "Which customers have flagged transactions with mismatched shipping addresses?") 2. The Query Agent analyzes your question and determines the exact queries to run 3. It searches across 𝘁𝗵𝗿𝗲𝗲 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀 simultaneously — Transactions, Customers, and PhoneProducts 4. It applies filters, aggregations, and cross-collection lookups automatically 5. The answer streams back to you in real time In the demo, you can see the exact queries the Query Agent constructed behind the scenes, and watch how it handles multipart questions that would normally require several manual query steps. Some of the fraud patterns it surfaces: • Flagged customers and their transaction history • Suspicious payment methods • Mismatched billing and shipping addresses • Brand-level fraud rates across PhoneProducts Traditional fraud detection relies on slow, rule-based systems that struggle with novel patterns. This approach lets you explore your data conv frauddetection.playground.weaviate.io/?utm_source=ch… Try it yourself 👇 https://t.co/pBEiukFD2t Your browser does not support the video tag. 🔗 View on Twitter 💬 0 🔄 5 ❤️ 5 👀 402 📊 3 ⚡