介绍 Auto Embeddings：让 AI 驱动的搜索变得简单
在 Manticore Search 中发现 Auto Embeddings —— 一项新功能，使语义搜索像编写 SQL 一样简单。无需额外的管道，无需外部服务，只需插入文本并用自然语言查询。几分钟内即可使用自动生成的嵌入构建更智能的搜索应用。.
Manticore Search 13.6.7: OR Operator Support, Distributed Table Joins, and Bug Fixes
Manticore Search 13.6.7 brings explicit OR operator support, distributed table joins, and over 15 critical bug fixes for better integration compatibility.
OR Inside Phrase, Quorum and Proximity
如果你曾经不得不编写多个查询来捕获短语的所有变体，你就知道这会有多重复和混乱。通过新支持的短语内部OR功能，你可以在一个简洁的查询中匹配“happy customer”和“sad customer”以及其他任何变体。 Manticore Search 13.6.7的新功能 我们很高兴宣布Manticore Search 13.6.7 已发布，增强了对这一有用功能的支持。短语操作符（引号）内部的OR操作符（|）提供了灵活的短语匹配，可以改进你构建搜索功能的方式。 短语中OR的奥 ...
Introducing Vector Quantization in Manticore Search
Learn how vector quantization in Manticore Search 13.2.3 can dramatically reduce RAM usage, boost indexing and search performance, and deliver near full-precision accuracy with optional oversampling and rescoring.
Manticore Search 13.2.3: Faster Vector Search, Lower RAM Usage, and Better Compatibility
Manticore Search 13.2.3 introduces vector search quantization with oversampling and rescoring for faster indexing and lower memory usage, plus key compatibility improvements.
Manticore Search 10.1.0：Prometheus 集成、增强监控和重大改进
Manticore Search 10.1.0 引入了内置的 Prometheus 导出器，改进了监控功能，并带来了显著的稳定性增强.