makneeee/

cohere_large_10m

Pre-built DiskANN indices for the Cohere Large 10M dataset from VectorDBBench, sharded for distributed vector search.

Source: VectorDBBench (Cohere) Vectors: 10,000,000 Dimensions: 768 Data type: float32 Queries: 10,000 Distance: L2

R (graph degree): 16, 32, 64 L (build beam width): 100 PQ bytes: 192

shard_3: 3 shards x ~3,333,333 vectors shard_5: 5… See the full description on the dataset page: https://huggingface.co/datasets/makneeee/cohere_large_10m.