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Awesome GitHub RepositoriesLinguistic Component Extensions
Interfaces for adding custom text analysis logic to a linguistic processing pipeline.
Distinct from Linguistic Pattern Searching: Distinct from Linguistic Pattern Searching: focuses on the extensibility of the processing pipeline rather than the search operation.
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- vespa-engine/vespa
vespa-engine/vespa
6,961Auf GitHub ansehenVespa 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
Allows integration of custom analysis logic into the text processing pipeline via a service provider interface.
Java
