Visualization tool for ANNS (Approximate Nearest Neighbor Search) algorithms enabling users to observe index structures, parameter configurations, and the complete vector similarity search process.
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Feder
Feder is a tool for visualizing ANNS (Approximate Nearest Neighbor Search) algorithms. It enables users to observe how different indexes are structured and how parameter configuration influences indexing structure.
Helps visualize the whole process of vector similarity search with detailed data access records, allowing developers and researchers to understand how different ANNS algorithms work internally.
Enables users to observe how parameter configuration influences indexing structure, helping optimize vector search performance.
Currently only supports HNSW from hnswlib, with more indexes coming soon.
Free and open-source.
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