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makneeee/cohere_medium_1m

Cohere Medium 1M - Sharded DiskANN Indices Pre-built DiskANN indices for the Cohere Medium 1M dataset from VectorDBBench, sharded for distributed vector search. Dataset Info Source: VectorDBBench (Cohere) Vectors: 1,000,000 Dimensions: 768 Data type: float32 Queries: 10,000 Distance: L2 DiskANN Parameters R (graph degree): 16, 32, 64 L (build beam width): 100 PQ bytes: 192 Shard Configurations shard_3: 3 shards x ~333,333 vectors… See the full description on the dataset page: https://huggingface.co/datasets/makneeee/cohere_medium_1m.

Author / organizationmakneeee
License (as declared)other
Downloads464 (as reported by Hugging Face)
Likes0
Created20 February 2026
Last updated at source21 February 2026
vector-searchdiskannnearest-neighborbenchmarkvectordbbench
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  • 17 Oct 2026 Description: Cohere Medium 1M - Sharded DiskANN Indices Pre-built DiskANN indices for the Cohere Medium 1M dataset from VectorDBBench, sharded for distributed vector search. Dataset Info Source: VectorDBBench (Cohere) Vectors: 1,000,000 Dimensions: 768 → Cohere Medium 1M - Sharded DiskANN Indices Pre-built DiskANN indices for the Cohere Medium 1M dataset from VectorDBBench, sharded for distributed vector search. Dataset Info Source: VectorDBBench (Cohere) Vectors: 1,000,000 Dimensions: 768

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