AIDB 7.3.0 release notes
========================

Released: 08 Apr 2026

AIDB 7.3.0 includes the following enhancements and bug fixes:

.. csv-table::
  :header: Type,Description
  :widths: 10,30
  :align: left
  :class: longtable

  Enhancement,"**Pipeline DLQ — Phase 2: Nonblocking errors:**   The Dead Letter Queue now handles nonblocking errors, meaning that transient or non-critical processing failures no longer halt pipeline execution. Failed records are queued for inspection and reprocessing."
  Enhancement,"**Transient error classification:**   Model and database errors are now classified as `PipelineTemporary` where appropriate, enabling the pipeline to retry transient failures automatically rather than treating them as permanent errors."
  Enhancement,"**DLQ user APIs:**   Introduced user-facing SQL functions for interacting with the Dead Letter Queue, including the ability to list, inspect, and reprocess failed pipeline records."
  Enhancement,**Comments in semantic knowledge base search:**   Semantic knowledge base search now includes support for searching over comments stored alongside document content.

Deprecated interfaces
---------------------

AIDB 7.3.0 removes the following SQL views and functions as part of the
major version interface cleanup. Replacements are noted for each.

.. csv-table::
  :header: Deprecated objects,Replacement
  :widths: 20,20
  :align: left
  :class: longtable

  **Views** ,""
  `aidb.preparers`,`aidb.pipelines` (filter by operation type if needed)
  `aidb.preps`,`aidb.pipelines`
  `aidb.retrievers`,`aidb.knowledge_bases` or `aidb.kbs`
  `aidb.preparer_registry`,`aidb.pipeline_registry` (internal)
  `aidb.preparer_registry_source_table`,`aidb.pipeline_registry` (internal)
  `aidb.preparer_registry_source_volume`,`aidb.pipeline_registry` (internal)
  **Functions** ,""
  `aidb.create_table_knowledge_base(...)`,`aidb.create_pipeline(... step_1 => 'KnowledgeBase')`
  `aidb.create_volume_knowledge_base(...)`,`aidb.create_pipeline(... step_1 => 'KnowledgeBase')`
  `aidb.set_auto_knowledge_base(...)`,"`aidb.update_pipeline(name, auto_processing => ...)`"
  `aidb.assert_knowledge_base_preconditions(...)`,Removed — no-op; validation is now handled internally
  `aidb.create_retriever_for_table(...)`,`aidb.create_pipeline(... step_1 => 'KnowledgeBase')`
  `aidb.create_retriever_for_volume(...)`,`aidb.create_pipeline(... step_1 => 'KnowledgeBase')`
  `aidb.delete_retriever(...)`,`aidb.delete_pipeline(...)`
  `aidb.set_retriever_auto_processing(...)`,"`aidb.update_pipeline(name, auto_processing => ...)`"
  `aidb.enable_auto_embedding_for_table(...)`,"`aidb.update_pipeline(name, auto_processing => 'Live')`"
  `aidb.disable_auto_embedding_for_table(...)`,"`aidb.update_pipeline(name, auto_processing => 'Disabled')`"
  `aidb.create_table_preparer(...)`,`aidb.create_pipeline(...)`
  `aidb.create_volume_preparer(...)`,`aidb.create_pipeline(...)`
  `aidb.create_preparer_for_table(...)`,`aidb.create_pipeline(...)`
  `aidb.create_preparer_for_volume(...)`,`aidb.create_pipeline(...)`
  `aidb.delete_preparer(...)`,`aidb.delete_pipeline(...)`
  `aidb.set_preparer_auto_processing(...)`,"`aidb.update_pipeline(name, auto_processing => ...)`"
  `aidb.get_preparer_data_source(...)`,Query `aidb.pipelines` view directly
  `aidb.assert_preparer_preconditions(...)`,Removed — validation is now handled internally
  `aidb.assert_table_preparer_preconditions(...)`,Removed
  `aidb.assert_volume_preparer_preconditions(...)`,Removed
  `aidb.bulk_embedding(name)`,`aidb.run_pipeline(name)`
  `aidb.bulk_data_preparation(name)`,`aidb.run_pipeline(name)`
  "`aidb.single_embedding(name, key, text)`",`aidb.run_pipeline(name)` or direct model calls
  "`aidb.single_embedding(name, key, bytea)`",`aidb.run_pipeline(name)` or direct model calls
  "`aidb.set_auto_preparer(name, mode)`","`aidb.update_pipeline(name, auto_processing => mode)`"
  "`aidb.upsert_chunk_text(name, key, value)`",Use pipeline execution via `aidb.run_pipeline()`
  "`aidb.upsert_summarize_text(name, key, value)`",Use pipeline execution via `aidb.run_pipeline()`
  "`aidb.upsert_parse_html(name, key, value)`",Use pipeline execution via `aidb.run_pipeline()`
  "`aidb.upsert_parse_pdf(name, key, value)`",Use pipeline execution via `aidb.run_pipeline()`
  "`aidb.upsert_perform_ocr(name, key, value)`",Use pipeline execution via `aidb.run_pipeline()`