Release 1.0.0 - First Release
We are excited to announce the first official release of kor_search, version 1.0.0!
What's New in 1.0.0:
- Initial Release: This is the inaugural version of
kor_search, a PostgreSQL extension that provides robust search capabilities for both Korean and English text. - Core Features:
- LIKE Search: Allows matching or partial matching of text using the traditional SQL
LIKEquery, now enhanced for mixed Korean and English content. - tsvector Search: Supports full-text search using
tsvector, enabling efficient search for synonyms and similar words across languages. - Similarity Search: Evaluates the semantic similarity between sentences or phrases, leveraging a predefined word set optimized for Korean-English translation contexts.
- LIKE Search: Allows matching or partial matching of text using the traditional SQL
- Customizable Dictionaries: Users can now define and manage custom word transformation dictionaries tailored to specific industries or domains, enhancing search accuracy.
- Performance Optimizations: Optimized for handling large datasets with consideration for performance, ensuring reliable search functionality even with extensive text data.
PGXN Availability:
We are pleased to announce that kor_search is now available on PGXN (PostgreSQL Extension Network). This allows you to easily install the extension directly into your PostgreSQL environment using the following command:
pgxn install kor_searchThis release marks the beginning of a powerful tool for those working with bilingual datasets, especially in environments where Korean and English text is intermixed. Whether you're managing content in a local database or a cloud environment, kor_search provides a robust solution for accurate and efficient text search.
Thank you for your interest and support in kor_search! We look forward to your feedback and contributions as we continue to improve and expand the capabilities of this extension.