Create Predicate Index

Schema

This request accepts an optional schema field. When it is omitted, the server uses the public schema. Set schema to target a store in another schema.

Predicate indices allow the AI store to efficiently filter results based on metadata fields. Use this operation to define which metadata keys should be indexed for faster query operations like GetPred.

store – Name of the AI store to create predicate indices on.
predicates – List of metadata fields to index.

The response confirms the creation of indices.

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 create_predicate_index():
  async with Channel(host="127.0.0.1", port=1370) as channel:
      client = AiServiceStub(channel)
      response = await client.create_pred_index(
          ai_query.CreatePredIndex(
              store="test store",
              schema="analytics",
              predicates=["job", "rank"]
          )
      )
      print(response) # CreateIndex(created_indexes=1)


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

Use this function after creating a store or inserting entries to optimize predicate-based queries.
Only indexed predicates can be efficiently queried in GetPred.

Schema​

Schema