Software Engineer
Dmitrii Kuzmenkov is a Software Engineer contributing technical and product-oriented content for Manticore Search, covering topics such as AI-assisted search, fuzzy search, image search, demos, and practical search applications.
Released in Manticore Search 27.1.5, the new ONNX Runtime backend makes auto-embeddings ~14× faster on average than the previous SentenceTransformers/Candle path on the same hardware, same model, same weights — and the margin holds whether you run 1 client thread or 32.
Indexfox is an AI search widget that any website can drop in with a single .
Since we introduced the backup tool in Manticore Search 6, backing up your data has become significantly easier. But we kept hearing the same question: "What about cloud storage?" Today, we're excited to announce that manticore-backup now ...
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.
Learn how to build fast, production-ready autocomplete with Manticore Search using CALL AUTOCOMPLETE, CALL KEYWORDS, infix tricks, and integration patterns.
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.
TL;DR: Learn how Manticore Search enables text-to-image search by combining natural language processing with vector-based image retrieval. Explore different approaches, from traditional methods to advanced vector search, and try our ...
TL;DR: Learn how to build a reverse image search app with Manticore Search, including a look at the history of reverse image search, the technology behind it, and practical approaches for image retrieval systems. Introduction Reverse image ...
TL;DR We are pleased to introduce two new important features in Manticore Search: Fuzzy Search and Query Suggestions (or "Autocomplete"). These features improve search capabilities, offering a more user-friendly experience. You can see them ...
This article presents a prototype that enhances GitHub's search functionality using semantic search technology with Manticore Search's Vector Search. It highlights the limitations of traditional keyword searches and introduces vector search as a more effective method that understands context and meaning, rather than just matching keywords. The piece outlines ...