2 repositorios
Monitors the asynchronous building progress and status of a vector index.
Distinct from Asynchronous Progress Tracking: Distinct from Asynchronous Progress Tracking: specifically tracks vector index building, not generic promise-level progress.
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Monitors the asynchronous building progress and status of a vector index.
zvec is an embedded vector database engine and indexing library designed for high-dimensional similarity search. It functions as a hybrid search engine and a retrieval-augmented generation knowledge base, allowing for the storage and retrieval of dense and sparse vectors. The system is distinguished by its hybrid retrieval pipeline, which fuses vector similarity, full-text keyword matching, and scalar metadata filtering into single query operations. It supports a plugin-based model integration system for registering custom embedding models and rerankers, as well as language bindings for nativ
Tracks the real-time building progress and status of vector indexes.