Mean similarity search time ≈ 1.4ms

Mean embedding insertion time ≈ 2.3ms

We benchmarked EigenDB's performance so you don't have to!

The blazingly fast in-memory vector database 🚀

EigenDB provides a robust and efficient REST API

Test your authentication using your API key.

Insert many vectors at once into the database.

Perform similarity search on a query vector.

Modify the time interval at which vectors in memory are persisted on disk.

Update the port on which the API runs (default = 8080). EigenDB must be restarted this to take effect.

Update the address on which the API runs (default = 0.0.0.0). EigenDB must be restarted this to take effect.

Update the similarity metric used in similarity search (default = euclidean). EigenDB must be restarted this to take effect.

Update the vector storage capacity. EigenDB must be restarted this to take effect.

Update M parameter in the HNSW algorithm used for similarity search. EigenDB must be restarted this to take effect.

Update efConstruction parameter in the HNSW algorithm used for similarity search. EigenDB must be restarted this to take effect.