Manticore Search 6.3.0
Manticore Search 6.3.0: Vector search, JOIN, REGEX, 60 improvements, 120+ bugs fixed and more.
Vector search in Manticore
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 之所以有用，是因为它可以通过查找关键字的精确匹配来实现高效的搜索。然而，它主要依赖于关键字，这有时会受到限制。相比之下，语义搜索使用向量相似性和机器学习来理解您的搜索背后的含义，并找到与您所寻找内容相似的文档。这种方法通常会产生更好的结果，并允许以更自然和宽松的方式进行搜 ...
Mike learning: REPLACE, UPDATE, wordforms
This article is for beginners at Manticore Search. It will guide you through the first steps of using the search engine: using wordforms.
Mike: learning: First steps
This article is for beginners at Manticore Search. It will guide you through the first steps of using the search engine.
Lexical Search vs. Semantic Search: Understanding the Differences and Use Cases
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 ...
Fuzzy Search vs. Vector Search: Exploring Modern Search Technologies
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 ...