Learn how the MCP-Manticore server helps Cursor, Claude Code, and other AI assistants generate correct Manticore Search queries, create proper schemas, and explore your data without syntax errors.
How DX1 runs Manticore Search on Azure VMs to power fast typeahead across 20M+ parts, with low-touch operations and straightforward scaling.
A practical comparison of Azure AI Search and Manticore Search for hybrid full-text + vector search, focusing on chunk-level document workloads, relevance tuning, operational patterns, and cost.
Define stopwords, exceptions, wordforms, and hitless words inline in CREATE TABLE (RT mode) to remove external files and simplify deployment and table definitions.
Manticore Search 17.5.1: maintenance release with bug fixes and minor improvements.
How Locally migrated from Elasticsearch to Manticore Search on Google Cloud, achieving 16× cost reduction while handling tens of thousands of queries per second across geo search, ecommerce, aggregations, and vector search.