Drop Predicate Index

Predicate index allow for efficient querying based on metadata fields. You can drop either a single predicate index or multiple predicate indices depending on your needs.

• Single Predicate Index: Specify a single predicate in the predicates list, e.g., ["job"]. This will remove the index associated with that one metadata field.

• Multiple Predicate Indices: Include multiple predicates in the list, e.g., ["job", "rank"]. All listed indices will be dropped in a single request.

Note: The error_if_not_exists flag ensures that an error is thrown if the index does not exist. The response.deleted_count property shows how many indices were actually removed.

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


async def drop_predicate_index():
  async with Channel(host="127.0.0.1", port=1370) as channel:
      client = AiServiceStub(channel)
      response = await client.drop_pred_index(
          ai_query.DropPredIndex(
              store="test store",
              predicates=["job"],
              error_if_not_exists=True
          )
      )
      print(response) # Del(deleted_count=1)


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

This approach allows you to maintain flexibility, dropping either one or many predicate indices in a single operation, while keeping your store optimized for AI queries.