Description
I am getting the following error with Weaviate Cloud Service, whenever I send a collection.query.near_vector query.
weaviate.exceptions.WeaviateQueryError: Query call with protocol GRPC search failed with message explorer: get class: vector search: object vector search at index text: shard text_UdoMEVcunseU: Unable to load shard UdoMEVcunseU: init shard "text_UdoMEVcunseU": init shard "text_UdoMEVcunseU": shard db: create objects bucket: init disk segments: init segment segment-1714683153537046308.db: mmap file: cannot allocate memory.
In addition to that, on the dashboard, it also shows 0 dimensions stored, which is not true because it was also saying I have reached the memory limit and I had to type REQUESTSCALE or something.
Server Setup Information
- Weaviate Server Version: 1.24.10
- Deployment Method: Created on WCS | Log in
The cluster URL is https://9mb467esjekvo2qtpbmmq.c0-1.us-east1.gcp.weaviate.cloud - Multi Node? Number of Running Nodes: I don’t know. It says it is a cluster.
- Client Language and Version: Python v4