Milvus Function Chain 用业务信号重排语义搜索结果
Milvus 出了个 Function Chain demo，语义搜索能加上价格、热度、评分再排序，XGBoost 重排一次搜索搞定，代码在 GitHub 上
Milvus 推出 Function Chain 演示，在向量相似度之外引入价格、新鲜度、热度和评分等业务信号。流程由 XGBoost 模型对结果重排，全部在 Milvus 内部单次搜索调用中完成。同一方法可迁移到新闻流、社区内容和知识库等搜索系统。代码已开源在 GitHub，官网提供在线 demo。
In product search, the closest semantic match isn’t always the best result once price, freshness, popularity, and ratings enter the picture. In this demo, we show how 𝗠𝗶𝗹𝘃𝘂𝘀 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗶𝗻 𝗰𝗼𝗺𝗯𝗶𝗻𝗲𝘀 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝘀𝗶𝗺𝗶𝗹𝗮𝗿𝗶𝘁𝘆 with business signals such as price, freshness, popularity, and rating. It then uses an XGBoost model to rerank the results—all inside Milvus and in a single search call. You can also apply the same approach to news feeds, community content, knowledge bases, and other search systems where relevance i demos.milvus.io/function-chain… 🔗 Try the live demo: https://t github.com/zc277584121/mi… ore the code on GitHub: https://t.co/yDdf0tIO5f Your browser does not support the video tag. 🔗 View on Twitter 💬 0 🔄 0 ❤️ 0 👀 60 ⚡