The post provides links to documentation examples for using the Qdrant vector store. In the comments, a community member reports encountering an error when querying the Qdrant vector store in a workflow, even though the collection exists and the index is loaded. Another community member responds that they have not faced this issue when using Qdrant, either locally or in the cloud. The community members then discuss the possibility of further discussing the issue via direct message.
Yes, I knew, but when I put qdrant vector store in a workflow, when the collection is existed, and the index is loaded, but when query, I always faced the error: llama_index.core.workflow.errors.WorkflowRuntimeError: Error in step 'query': 'f39685af-4948-4089-9536-0f1a2462e36a'
