🐛 fix(ai): handle ValueError in LanceDB table lookup

            else:

                self._tables[name] = existing_table

            return

        except FileNotFoundError:

        except FileNotFoundError, ValueError:

            # Table doesn't exist, continue to create it

            # ValueError is raised by LanceDB when table not found

            pass

        # Create the table, handling race condition where it might be created

            else:

                raise

    def _table(self, name: str) -> LanceDBTable:

    def _table(self, name: str) -> Any:

        return self._tables[name]

def _table_to_records(table: LanceDBTable) -> list[dict[str, Any]]:

def _table_to_records(table: Any) -> list[dict[str, Any]]:

    try:

        dataframe = table.to_pandas()

        return dataframe.to_dict("records")

            # Query all required fields from actual database schema

            with sqlite3.connect(self.connection.filename) as conn:

                cursor = conn.cursor()

                cursor.execute(

                    "SELECT tdoc_id, meeting_id, title, url, source, contact, agenda_item_nbr "

                    "FROM tdocs WHERE tdoc_id = ?",

                    (tdoc_id.upper(),)

                )

                cursor.execute("SELECT tdoc_id, meeting_id, title, url, source, contact, agenda_item_nbr FROM tdocs WHERE tdoc_id = ?", (tdoc_id.upper(),))

                row = cursor.fetchone()

                if row:

                    from tdoc_crawler.tdocs.models import TDocMetadata

                    return TDocMetadata(

                        tdoc_id=row[0],

                        meeting_id=row[1],

                return None

        except sqlite3.Error:

            return None

    # ------------------------------------------------------------------

    # Normalisation helpers

    # ------------------------------------------------------------------