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Awesome GitHub RepositoriesAnalyzer Configurations
Settings that define how text is tokenized, filtered, and processed for indexing.
Distinct from Text Tokenization: Focuses on the configuration and definition of the analysis pipeline rather than the act of tokenization itself.
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Awesome Analyzer Configurations GitHub Repositories
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- vespa-engine/vespa
vespa-engine/vespa
6,961Voir sur GitHubVespa is a distributed search engine, vector database, and machine learning ranking engine. It serves as an AI search platform designed to handle large-scale document indexing and complex query processing across a cluster of nodes, combining keyword retrieval with high-dimensional embedding storage for semantic similarity search. The platform distinguishes itself by integrating machine learning models directly into the search pipeline to perform real-time inference and ranking. It converts these models into ranking expressions to score and order results based on relevance, while providing a s
Defines how text is tokenized and filtered using predefined language defaults or custom configurations.
Java
