feat: Add DBpedia OpenAI embedding dataset with 100k vectors

qdrant / vector-db-benchmark

Framework for benchmarking vector search engines

https://qdrant.tech/benchmarks/

Apache License 2.0

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Closed KShivendu closed 1 month ago

KShivendu commented 1 month ago

Reasoning:

Using a smaller dataset means it will finish faster.
- This is also important because our crons run every 4 hours and the runs shouldn't overlap because they use the same machine
All other CI benchmark datasets are of similar size (<1GB)