Explore the differences between fuzzy search and vector search in modern information retrieval. Learn how fuzzy search excels in handling typos using edit distance, while vector search leverages embeddings to understand context. Discover their strengths, limitations, and ideal use cases. See how platforms like Manticore Search combine both methods for ...
Learn to contribute to Manticore Search with our guide on using Docker for manual builds and GitHub for automated CI. Simplify your development process, whether you prefer hands-on control or streamlined automation. A must-read for developers looking to enhance their workflow with Manticore Search.
An example of using Elasticdump with Manticore Search.
TL;DR: In this blogpost we demonstrate how we made a search app very similar to the one GitHub uses to find issues, using Manticore Search. Try out the demo: Crawl your repo - https://github.manticoresearch.com/ . You'll have to wait. ...
This article delves into the transformative world of vector search technology, charting its evolution and widespread adoption across both new and established database platforms.
Fuzzy search and semantic search are two powerful approaches in modern information retrieval. Fuzzy search excels in handling typos and variations, using techniques like edit distance and phonetic algorithms. Semantic search, leveraging natural language processing and machine learning, shines in understanding contextual meaning and user intent. While fuzzy ...