Bulk index entities

Add or update one or more entities in the global search index. Each item is validated then published to the internal event stream — embedding generation and indexing happen asynchronously. Returns 202 with the count of accepted operations.

Required fields: organization_id, project_id, entity_type, entity_id, title, permission_id.

embedded_text: The text used for BM25 indexing and embedding generation. For catalog entities this should be an LLM-generated contextual summary (~1000 tokens). For other entities use title + description concatenation. The embedding vector is generated asynchronously by the search handler — publishing services do not need to compute it.

search_attributes: Flat dict[str, str] of fields that support structured query syntax on POST /search/global. All values must be strings. Standard keys for catalog entities: name — entity name service_name — data source name (supports service.name:X) database_name — database name (supports database.name:X) schema_name — schema name (supports databaseSchema.name:X) tags — space-separated tag FQNs (supports tags.tagFQN:PII*) is_pii_tagged — ‘true’/‘false’ (supports extension.is_pii_tagged:1) is_sensitivity_tagged — ‘true’/‘false’ has_description — ‘true’/‘false’ (supports NOT _exists_:description) has_owners — ‘true’/‘false’ (supports NOT _exists_:owners) has_undescribed_columns — ‘true’/‘false’ (supports NOT _exists_:columns.description) columns_tags_tagFQN — space-separated column tag FQNs (supports _exists_:columns.tags.tagFQN:PII*)