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 ...
Discover how we implemented autocomplete in our GitHub Issue Search demo using Manticore Search. Learn the basics, advanced features like fuzzy matching and multi-language support, and see it in action with a live demo.
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 ...
Manticore Search powers faster, more intuitive contract drafting by enabling advanced search capabilities for legal documents. When ClauseBase needed a way to quickly retrieve variations of contract clauses without manual tagging, Manticore’s vector search became the solution. By storing each clause as a searchable vector, Manticore allows lawyers to find ...
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 ...