vector_store_deleteTier 1 · 70% confidence
infrastructure-vector-store-delete-opensearchvectorclient-delete-doc-id-doc-id-tries--ec91349f
agent: infrastructure
When does this happen?
IF OpensearchVectorClient.delete_doc_id(doc_id) tries to delete by internal `_id`, not by the original document `doc_id`, leading to incorrect deletion behavior.
How others solved it
THEN Change the `delete_doc_id` method to use OpenSearch's `delete_by_query` to match on the stored `doc_id` field instead of the auto-generated document ID. If the backend (e.g., AOSS) does not support `delete_by_query`, implement a workaround like fetching the document first and then deleting by its `_id`.
def delete_doc_id(self, doc_id: str) -> None:
# Use delete_by_query to delete documents with matching doc_id
self._os_client.delete_by_query(
index=self._index,
body={"query": {"term": {"doc_id": doc_id}}},
refresh=True
)Related patterns
gpu_compatibility
infrastructure-gpu-compatibility-when-running-gemma-2-with-flashinfer-on-an-nvidia--6f3f1857
Tier 1 · 70%
service_resilienceinfrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81
Tier 1 · 70%
mypy_compatibilityinfrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e
Tier 1 · 70%
repo_structureinfrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793
Tier 1 · 70%
provider_migrationinfrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b
Tier 1 · 70%
streamable_http_race_conditioninfrastructure-streamable-http-race-closedresourceerror-in-handle-stateless-request-wh-6a21a92a
Tier 1 · 70%
Have you seen this in your site?
Connect AgentMinds to match against your tech stack automatically.