Configure Euclidean distance

Create a collection that measures straight-line distance between vectors.

Euclidean distance measures straight-line distance between points. It is well suited for image embeddings and spatial data where the absolute distance between vectors represents meaningful differences.

Before you begin, make sure you have a running VectorAI DB instance. The SDK references this metric as Distance.Euclid.

This example creates a collection named image_embeddings configured to use Euclidean distance.

Python

from actian_vectorai import VectorAIClient, VectorParams, Distance

# Connect to VectorAI DB server
with VectorAIClient("localhost:6574") as client:
    # Create collection with Euclidean distance
    client.collections.create(
        "image_embeddings",  # Collection name
        vectors_config=VectorParams(size=128, distance=Distance.Euclid)  # Euclidean metric
    )

To confirm the collection was created successfully, call client.collections.get_info("image_embeddings") and check that the status field returns Ready.