自6.3.0版本起，Manticore Search支持向量搜索！让我们深入了解它——它是什么，它带来了哪些优势，以及如何通过将其集成到GitHub问题搜索演示 中来使用它。 全文搜索与向量搜索 全文搜索 很有用，因为它可以通过查找关键词的精确匹配来高效搜索。不过，它主要依赖关键词，有时会受到限制。相比之下，语义搜索 使用向量相似度和机器学习来理解搜索背后的含义，并找到与您所查找内容相似的文档。这种方法通常能带来更好的结果，也支持以更自然、更轻松的方式进行搜索。 我们很高兴 ...
This article is for beginners at Manticore Search. It will guide you through the first steps of using the search engine: using wordforms.
This article is for beginners at Manticore Search. It will guide you through the first steps of using the search engine.
Lexical search matches specific words and phrases, offering speed and accuracy for structured queries. It supports features like fuzzy matching, word stemming, and wildcard searches. Semantic search uses advanced techniques to understand meaning and context, excelling at natural language queries and concept matching. While semantic search offers more ...
Explore the differences between fuzzy search and vector search in modern information retrieval. Learn how fuzzy search excels in handling typos using edit distance, while vector search leverages embeddings to understand context. Discover their strengths, limitations, and ideal use cases. See how platforms like Manticore Search combine both methods for ...
Learn to contribute to Manticore Search with our guide on using Docker for manual builds and GitHub for automated CI. Simplify your development process, whether you prefer hands-on control or streamlined automation. A must-read for developers looking to enhance their workflow with Manticore Search.
