Zilliz新发布的Milvus 3.0版本，集成了全文和语义搜索，与Elasticsearch相比有优势，值得一试。
Zilliz宣布Milvus 3.0版本发布，集成了全文和语义搜索功能，支持混合检索、分组、模式灵活性和搜索效率。与Elasticsearch对比，Milvus 3.0在同一数据集、嵌入、分析器和计算资源下表现更优。
🌐 𝗙𝗮𝘀𝘁𝗲𝗿 𝗮𝗻𝗱 𝗠𝗼𝗿𝗲 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗙𝘂𝗹𝗹-𝗧𝗲𝘅𝘁 𝗦𝗲𝗮𝗿𝗰𝗵 𝘄𝗶𝘁𝗵 ...
🌐 𝗙𝗮𝘀𝘁𝗲𝗿 𝗮𝗻𝗱 𝗠𝗼𝗿𝗲 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗙𝘂𝗹𝗹-𝗧𝗲𝘅𝘁 𝗦𝗲𝗮𝗿𝗰𝗵 𝘄𝗶𝘁𝗵 𝗠𝗶𝗹𝘃𝘂𝘀 𝟯.𝟬 is a wrap! Thanks to everyone who joined us live. We really appreciated your time, questions, and engagement throughout the session. In the session, Simon Hearne, Solutions Architect at Zilliz EMEA, explored how Milvus 3.0 brings full-text and semantic search together in one engine—helping teams build faster, more flexible search experiences without maintaining separate systems. Takeaways: 🔷 How Milvus combines native BM25 and vector search in a single query 🔷 Key Milvus 3.0 capabilities for hybrid retrieval, grouping, schema flexibility, and search efficiency 🔷 How Milvus 3.0 and Elasticsearch compare using the same dataset, embeddings, analyzers, and compute resources 🔷 How to reproduce the side-by-side comparison locally 🔷 And more... With 𝗠𝗶𝗹𝘃𝘂𝘀 𝟯.𝟬, teams can run keyword search, semantic retrieval, filtering, grouping, and ranking in one engine—simplifying search architecture while improving performance and cost efficiency. If you di youtu.be/XxcA1NSQnCo can watch the replay here: 𝗥𝗲𝗰𝗼𝗿𝗱𝗶𝗻𝗴: https://t.co/VhIGjBj7bk 👉 Follow @zilliz_universe f #Zilliz #Milvus #FullTextSearch a #HybridSearch e #VectorDatabase ction AI. #Zilliz #Milvus #FullTextSearch #HybridSearch #VectorDatabase 💬 0 🔄 0 ❤️ 1 👀 56 ⚡