Add dataset with table parser type for Infinity and answer question in chat using SQL (#12541)

### What problem does this PR solve?

1) Create  dataset using table parser for infinity
2) Answer questions in chat using SQL

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

api/apps/sdk/dataset.py

@@ -233,6 +233,15 @@ async def delete(tenant_id):
                 File2DocumentService.delete_by_document_id(doc.id)
             FileService.filter_delete(
                 [File.source_type == FileSource.KNOWLEDGEBASE, File.type == "folder", File.name == kb.name])
+
+            # Drop index for this dataset
+            try:
+                from rag.nlp import search
+                idxnm = search.index_name(kb.tenant_id)
+                settings.docStoreConn.delete_idx(idxnm, kb_id)
+            except Exception as e:
+                logging.warning(f"Failed to drop index for dataset {kb_id}: {e}")
+
             if not KnowledgebaseService.delete_by_id(kb_id):
                 errors.append(f"Delete dataset error for {kb_id}")
                 continue