Drop Non-Linear Algorithm Index

The Drop Non Linear Algorithm Index operation removes an index that was previously created for non-linear algorithms such as KD-Tree . These indices are typically used to accelerate similarity searches in high-dimensional spaces.

This operation is useful when:

An index is no longer needed and you want to free up system resources.
You need to replace an index with a different algorithm type.
You are resetting the store to a clean state.

If the specified index does not exist, the request will fail if error_if_not_exists=True is set. Otherwise, the call will safely complete without error.

Click to expand source code

import asyncio
from grpclib.client import Channel
from ahnlich_client_py.grpc.services.ai_service import AiServiceStub
from ahnlich_client_py.grpc.ai import query as ai_query
from ahnlich_client_py.grpc.algorithm.nonlinear import NonLinearAlgorithm


async def drop_non_linear_algorithm_index():
  async with Channel(host="127.0.0.1", port=1370) as channel:
      client = AiServiceStub(channel)
      response = await client.drop_non_linear_algorithm_index(
          ai_query.DropNonLinearAlgorithmIndex(
              store="test store",
              non_linear_indices=[NonLinearAlgorithm.KDTree],
              error_if_not_exists=True
          )
      )
      print(response) # Del(deleted_count=1)


if __name__ == "__main__":
  asyncio.run(drop_non_linear_algorithm_index())

Behavior

Index exists → The specified algorithm index is removed from the store.
Index does not exist →
- If error_if_not_exists=True, the operation raises an error.
- If error_if_not_exists=False, the request completes successfully without changes.

Behavior​

Behavior