big-ann-benchmarks
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harsha-simhadri
Framework for evaluating ANNS algorithms on billion scale datasets.
As I understand big-ann-benchmark is used for benchmarking algorithms. Looking at [ann-benchmarks](https://github.com/erikbern/ann-benchmarks/blob/main/ann_benchmarks/algorithms/), they also have support for databases, such as postgres (pgvector) and redis. I have a few questions: 1)...
The generic function `get_dataset_fn()` implemented in the `DatasetCompetitionFormat` class in `benchmark/datasets.py` did not work properly, as it contained some code that was specific to the billion-size datasets, and caused some...
I'm trying to repro the faiss GPU baseline results with MSSPACEV dataset. I'm following the instructions using the [FAISS T3 Baseline] (https://github.com/harsha-simhadri/big-ann-benchmarks/tree/main/neurips21/track3_baseline_faiss). Built FAISS using source from the main branch....
is there a plan to upload the code which is written to created create pinecone index or zilliz index and upload embeddings and metadata? For ex: code for pys2.FilterIndexWrapper
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Framework for evaluating ANNS algorithms on billion scale datasets.