If you’ve ever had to write multiple queries just to capture all the variations of a phrase, you know how repetitive and messy it can get. With the new OR support inside phrases, you can match "happy customer" and "sad customer"—plus any ...
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 introduces vector search quantization with oversampling and rescoring for faster indexing and lower memory usage, plus key compatibility improvements.
Manticore Search 10.1.0 introduces built-in Prometheus exporter, improved monitoring capabilities, and significant stability enhancements.
A comprehensive guide to implementing intelligent fuzzy search with Manticore Search, covering essential concepts like Levenshtein distance and keyboard layout detection, with real-world examples for online stores and content platforms.
A comprehensive guide to vector search in Manticore Search, covering everything from embeddings and HNSW algorithm to production deployment. Learn how to implement semantic search, image matching, and multilingual search with practical examples and performance optimization tips.