Embeddable, in-memory, document-oriented database with a high-level Query builder interface.
Optimizing multi-attribute filtering for Approximate Nearest Neighbor (ANN) search using HNSW. This project integrates bitsets and Roaring Bitmaps into HNSWLib to accelerate query performance by reducing evaluation costs for large attribute datasets.
Approximate shortest path between the nodes in a (knowledge or any other) graph
App Store Search example using ReactiveSearch pipelines and aNN
Building a Custom Vector Search Engine with Weaviate : The project discusses the architecture of Weaviate, an open-source vector database and provides a tutorial implementation of a custom vector search engine using Weaviate Cloud Service(WCS).
A framework for the implementation of candidate generation/retrieval algorithms for recommender systems.
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