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Independent client implementations that interact with a database API outside of the primary container environment.
Distinct from Document Database Clients: Focuses on the standalone nature of the client rather than general CRUD operations.
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Vespa 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
Compiles clients that interact with the document API outside of the container environment using shared dependencies.