Manticore Search 13.2.3 introduces vector quantization (VQ) to its K-nearest-neighbour ( KNN ) engine. The new feature cuts RAM usage by an order of magnitude, speeds up indexing, and still matches (or even beats) the search throughput of …
We’re excited to release Manticore Search 13.2.3 , the result of our work throughout June 2025. This version focuses on making Vector Search faster, more memory-efficient, and better suited for large-scale data, while also improving …
We’re excited to announce the release of Manticore Search 10.1.0 , featuring updates from May 2025, bringing built-in Prometheus integration, enhanced monitoring capabilities, and numerous stability improvements to make your search …
Fuzzy search represents a family of techniques that enable intelligent matching between search queries and content. At its core, it’s about finding relevant results even when the search terms don’t match perfectly. While most commonly used …
Table of Contents Vector Search in Manticore: The Details What Are Embeddings (And Why Should You Care)? How Does Vector Search Work? Getting Started: Setting Up Vector Search Advanced Search Features Real-World Applications Making Vector …
We’re excited to announce the release of Manticore Search 9.3.2, bringing enhanced table usage tracking, memory optimization, and numerous stability improvements to make your search experience more reliable and efficient.
🛠️ New Features …