v1.2

Release Highlights

• Semantic Search Integration: Implemented an AI-powered search engine allowing users to query the library using natural language concepts rather than just exact keyword matches.
• Keyword Indexing: Optimized backend indexing to provide near-instant retrieval of documents based on specific metadata and keyword tagging.
• Search Relevance: Enhanced ranking algorithms to prioritize contextually relevant articles, significantly improving discovery for long-form content.

Technical Improvements

• Updated the search controller to handle vector embeddings for semantic query processing.
• Refactored the indexing pipeline to support concurrent keyword extraction and semantic vectorization.
• Added support for fuzzy matching in keyword searches to handle minor typos and variations.

Bug Fixes

• Resolved an issue where search results were occasionally cached incorrectly, preventing the display of the most recent entries.
• Fixed a synchronization lag between new document uploads and the availability of their keywords in the search index.