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Failed to perform the hit testing on database #4020

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opened 2026-02-21 18:04:26 -05:00 by yindo · 8 comments
yindo commented 2026-02-21 18:04:26 -05:00
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Originally created by @Faultiness on GitHub (Jun 8, 2024).

Originally assigned to: @JohnJyong on GitHub.

Self Checks

  • This is only for bug report, if you would like to ask a question, please head to Discussions.
  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
  • Please do not modify this template :) and fill in all the required fields.

Dify version

0.6.10

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

  1. Create a database and add several txt document
  2. Enable automatic segmentation and cleaning; Enable self-QA mode
  3. Set the indexing method to mixed retrieval
  4. Wait until finish

✔️ Expected Behavior

No response

❌ Actual Behavior

When performing the hit testing. It returns
Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}]

Originally created by @Faultiness on GitHub (Jun 8, 2024). Originally assigned to: @JohnJyong on GitHub. ### Self Checks - [X] This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general). - [X] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [X] I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). - [X] Please do not modify this template :) and fill in all the required fields. ### Dify version 0.6.10 ### Cloud or Self Hosted Self Hosted (Docker) ### Steps to reproduce 1. Create a database and add several txt document 2. Enable automatic segmentation and cleaning; Enable self-QA mode 3. Set the indexing method to mixed retrieval 4. Wait until finish ### ✔️ Expected Behavior _No response_ ### ❌ Actual Behavior When performing the hit testing. It returns `Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}]`
yindo added the 👻 feat:rag label 2026-02-21 18:04:26 -05:00
yindo closed this issue 2026-02-21 18:04:26 -05:00
yindo commented 2026-02-21 18:04:26 -05:00
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@JohnJyong commented on GitHub (Jun 8, 2024):

pls provide your embedding model and vdb name, if possible ,pls attache your error logs , tks @Faultiness

@JohnJyong commented on GitHub (Jun 8, 2024): pls provide your embedding model and vdb name, if possible ,pls attache your error logs , tks @Faultiness
yindo commented 2026-02-21 18:04:26 -05:00
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@Faultiness commented on GitHub (Jun 8, 2024):

Thanks for your reply.

The embedding model is text-embedding-3-large from OpenAI. And, how to check the vdb name?
The log of container api when performing the hit testing is:

ERROR:root:Hit testing failed.
Traceback (most recent call last):
  File "/app/api/controllers/console/datasets/hit_testing.py", line 56, in post
    response = HitTestingService.retrieve(
  File "/app/api/services/hit_testing_service.py", line 58, in retrieve
    all_documents = RetrievalService.retrieve(retrival_method=retrieval_model['search_method'],
  File "/app/api/core/rag/datasource/retrieval_service.py", line 86, in retrieve
    raise Exception(exception_message)
Exception: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}];
Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}]
ERROR:app:Exception on /console/api/datasets/38f171a7-1173-490c-b285-e5c59efad2a5/hit-testing [POST]
Traceback (most recent call last):
  File "/app/api/controllers/console/datasets/hit_testing.py", line 56, in post
    response = HitTestingService.retrieve(
  File "/app/api/services/hit_testing_service.py", line 58, in retrieve
    all_documents = RetrievalService.retrieve(retrival_method=retrieval_model['search_method'],
  File "/app/api/core/rag/datasource/retrieval_service.py", line 86, in retrieve
    raise Exception(exception_message)
Exception: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}];
Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 880, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 865, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
  File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 489, in wrapper
    resp = resource(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/flask/views.py", line 110, in view
    return current_app.ensure_sync(self.dispatch_request)(**kwargs)  # type: ignore[no-any-return]
  File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 604, in dispatch_request
    resp = meth(*args, **kwargs)
  File "/app/api/controllers/console/setup.py", line 86, in decorated
    return view(*args, **kwargs)
  File "/app/api/libs/login.py", line 91, in decorated_view
    return current_app.ensure_sync(func)(*args, **kwargs)
  File "/app/api/controllers/console/wraps.py", line 21, in decorated
    return view(*args, **kwargs)
  File "/app/api/controllers/console/datasets/hit_testing.py", line 83, in post
    raise InternalServerError(str(e))
werkzeug.exceptions.InternalServerError: 500 Internal Server Error: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}];
Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}]
@Faultiness commented on GitHub (Jun 8, 2024): Thanks for your reply. The embedding model is `text-embedding-3-large` from OpenAI. And, how to check the vdb name? The log of container `api` when performing the hit testing is: ``` ERROR:root:Hit testing failed. Traceback (most recent call last): File "/app/api/controllers/console/datasets/hit_testing.py", line 56, in post response = HitTestingService.retrieve( File "/app/api/services/hit_testing_service.py", line 58, in retrieve all_documents = RetrievalService.retrieve(retrival_method=retrieval_model['search_method'], File "/app/api/core/rag/datasource/retrieval_service.py", line 86, in retrieve raise Exception(exception_message) Exception: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}]; Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}] ERROR:app:Exception on /console/api/datasets/38f171a7-1173-490c-b285-e5c59efad2a5/hit-testing [POST] Traceback (most recent call last): File "/app/api/controllers/console/datasets/hit_testing.py", line 56, in post response = HitTestingService.retrieve( File "/app/api/services/hit_testing_service.py", line 58, in retrieve all_documents = RetrievalService.retrieve(retrival_method=retrieval_model['search_method'], File "/app/api/core/rag/datasource/retrieval_service.py", line 86, in retrieve raise Exception(exception_message) Exception: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}]; Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}] During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 880, in full_dispatch_request rv = self.dispatch_request() File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 865, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return] File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 489, in wrapper resp = resource(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/flask/views.py", line 110, in view return current_app.ensure_sync(self.dispatch_request)(**kwargs) # type: ignore[no-any-return] File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 604, in dispatch_request resp = meth(*args, **kwargs) File "/app/api/controllers/console/setup.py", line 86, in decorated return view(*args, **kwargs) File "/app/api/libs/login.py", line 91, in decorated_view return current_app.ensure_sync(func)(*args, **kwargs) File "/app/api/controllers/console/wraps.py", line 21, in decorated return view(*args, **kwargs) File "/app/api/controllers/console/datasets/hit_testing.py", line 83, in post raise InternalServerError(str(e)) werkzeug.exceptions.InternalServerError: 500 Internal Server Error: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}]; Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_38f171a7_1173_490c_b285_e5c59efad2a5_Node" on type "GetObjectsObj". Did you mean "Vector_index_78ed1ca9_15c0_4fff_8995_d8632964e0a6_Node" or "Vector_index_a37b9418_81e7_43d2_9f0d_11088ccc82e5_Node"?', 'path': None}] ```
yindo commented 2026-02-21 18:04:26 -05:00
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@AlpineLX commented on GitHub (Jun 12, 2024):

I met the same error and the logs are below:
Traceback (most recent call last): File "/usr/local/lib/python3.10/threading.py", line 1016, in _bootstrap_inner self.run() File "/usr/local/lib/python3.10/threading.py", line 953, in run self._target(*self._args, **self._kwargs) File "/app/api/core/rag/datasource/retrieval_service.py", line 121, in embedding_search documents = vector.search_by_vector( File "/app/api/core/rag/datasource/vdb/vector_factory.py", line 226, in search_by_vector return self._vector_processor.search_by_vector(query_vector, **kwargs) File "/app/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py", line 194, in search_by_vector raise ValueError(f"Error during query: {result['errors']}") ValueError: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_022c31c8_78db_4366_afac_d70a6fdfad3b_Node" on type "GetObjectsObj". Did you mean "Vector_index_e494c3c2_8dab_4448_877d_52ab4bba51c4_Node"?', 'path': None}] Exception in thread Thread-153 (embedding_search):
The logs are different while the error almost the same.
And about 1 hour later, the system was self-repaired. I'm wondering how it happened.

Thanks!

@AlpineLX commented on GitHub (Jun 12, 2024): I met the same error and the logs are below: `Traceback (most recent call last): File "/usr/local/lib/python3.10/threading.py", line 1016, in _bootstrap_inner self.run() File "/usr/local/lib/python3.10/threading.py", line 953, in run self._target(*self._args, **self._kwargs) File "/app/api/core/rag/datasource/retrieval_service.py", line 121, in embedding_search documents = vector.search_by_vector( File "/app/api/core/rag/datasource/vdb/vector_factory.py", line 226, in search_by_vector return self._vector_processor.search_by_vector(query_vector, **kwargs) File "/app/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py", line 194, in search_by_vector raise ValueError(f"Error during query: {result['errors']}") ValueError: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_022c31c8_78db_4366_afac_d70a6fdfad3b_Node" on type "GetObjectsObj". Did you mean "Vector_index_e494c3c2_8dab_4448_877d_52ab4bba51c4_Node"?', 'path': None}] Exception in thread Thread-153 (embedding_search): ` The logs are different while the error almost the same. And about 1 hour later, the system was self-repaired. I'm wondering how it happened. Thanks!
yindo commented 2026-02-21 18:04:26 -05:00
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@jiaolongxue commented on GitHub (Jun 12, 2024):

use weaviate
api errlog

ERROR:app:Exception on /console/api/datasets/4783a214-77f6-4c08-b906-985e764bd2ff/hit-testing [POST]
Traceback (most recent call last):
  File "/app/api/controllers/console/datasets/hit_testing.py", line 56, in post
    response = HitTestingService.retrieve(
  File "/app/api/services/hit_testing_service.py", line 58, in retrieve
    all_documents = RetrievalService.retrieve(retrival_method=retrieval_model['search_method'],
  File "/app/api/core/rag/datasource/retrieval_service.py", line 86, in retrieve
    raise Exception(exception_message)
Exception: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_4783a214_77f6_4c08_b906_985e764bd2ff_Node" on type "GetObjectsObj". Did you mean "Vector_index_7b33c44a_cf66_410c_b741_9d366eef0d6f_Node", "Vector_index_05be79ff_47f2_40d8_a320_4e8e4b126e5a_Node", "Vector_index_b8c0a266_8213_4c78_a8d7_de611697c079_Node", "Vector_index_e83fd1c5_742d_4943_ba91_57f151842dba_Node", or "Vector_index_923a570d_7d35_46be_99bf_40fe48b875da_Node"?', 'path': None}];
Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_4783a214_77f6_4c08_b906_985e764bd2ff_Node" on type "GetObjectsObj". Did you mean "Vector_index_b8c0a266_8213_4c78_a8d7_de611697c079_Node", "Vector_index_7b33c44a_cf66_410c_b741_9d366eef0d6f_Node", "Vector_index_05be79ff_47f2_40d8_a320_4e8e4b126e5a_Node", "Vector_index_e83fd1c5_742d_4943_ba91_57f151842dba_Node", or "Vector_index_923a570d_7d35_46be_99bf_40fe48b875da_Node"?', 'path': None}]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 880, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 865, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
  File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 489, in wrapper
    resp = resource(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/flask/views.py", line 110, in view
    return current_app.ensure_sync(self.dispatch_request)(**kwargs)  # type: ignore[no-any-return]
  File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 604, in dispatch_request
    resp = meth(*args, **kwargs)
  File "/app/api/controllers/console/setup.py", line 86, in decorated
    return view(*args, **kwargs)
  File "/app/api/libs/login.py", line 91, in decorated_view
    return current_app.ensure_sync(func)(*args, **kwargs)
  File "/app/api/controllers/console/wraps.py", line 21, in decorated
    return view(*args, **kwargs)
  File "/app/api/controllers/console/datasets/hit_testing.py", line 83, in post
    raise InternalServerError(str(e))
werkzeug.exceptions.InternalServerError: 500 Internal Server Error: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_4783a214_77f6_4c08_b906_985e764bd2ff_Node" on type "GetObjectsObj". Did you mean "Vector_index_7b33c44a_cf66_410c_b741_9d366eef0d6f_Node", "Vector_index_05be79ff_47f2_40d8_a320_4e8e4b126e5a_Node", "Vector_index_b8c0a266_8213_4c78_a8d7_de611697c079_Node", "Vector_index_e83fd1c5_742d_4943_ba91_57f151842dba_Node", or "Vector_index_923a570d_7d35_46be_99bf_40fe48b875da_Node"?', 'path': None}];
Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_4783a214_77f6_4c08_b906_985e764bd2ff_Node" on type "GetObjectsObj". Did you mean "Vector_index_b8c0a266_8213_4c78_a8d7_de611697c079_Node", "Vector_index_7b33c44a_cf66_410c_b741_9d366eef0d6f_Node", "Vector_index_05be79ff_47f2_40d8_a320_4e8e4b126e5a_Node", "Vector_index_e83fd1c5_742d_4943_ba91_57f151842dba_Node", or "Vector_index_923a570d_7d35_46be_99bf_40fe48b875da_Node"?', 'path': None}]

but weaviate None error

@jiaolongxue commented on GitHub (Jun 12, 2024): use **weaviate** **api errlog** ``` ERROR:app:Exception on /console/api/datasets/4783a214-77f6-4c08-b906-985e764bd2ff/hit-testing [POST] Traceback (most recent call last): File "/app/api/controllers/console/datasets/hit_testing.py", line 56, in post response = HitTestingService.retrieve( File "/app/api/services/hit_testing_service.py", line 58, in retrieve all_documents = RetrievalService.retrieve(retrival_method=retrieval_model['search_method'], File "/app/api/core/rag/datasource/retrieval_service.py", line 86, in retrieve raise Exception(exception_message) Exception: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_4783a214_77f6_4c08_b906_985e764bd2ff_Node" on type "GetObjectsObj". Did you mean "Vector_index_7b33c44a_cf66_410c_b741_9d366eef0d6f_Node", "Vector_index_05be79ff_47f2_40d8_a320_4e8e4b126e5a_Node", "Vector_index_b8c0a266_8213_4c78_a8d7_de611697c079_Node", "Vector_index_e83fd1c5_742d_4943_ba91_57f151842dba_Node", or "Vector_index_923a570d_7d35_46be_99bf_40fe48b875da_Node"?', 'path': None}]; Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_4783a214_77f6_4c08_b906_985e764bd2ff_Node" on type "GetObjectsObj". Did you mean "Vector_index_b8c0a266_8213_4c78_a8d7_de611697c079_Node", "Vector_index_7b33c44a_cf66_410c_b741_9d366eef0d6f_Node", "Vector_index_05be79ff_47f2_40d8_a320_4e8e4b126e5a_Node", "Vector_index_e83fd1c5_742d_4943_ba91_57f151842dba_Node", or "Vector_index_923a570d_7d35_46be_99bf_40fe48b875da_Node"?', 'path': None}] During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 880, in full_dispatch_request rv = self.dispatch_request() File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 865, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return] File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 489, in wrapper resp = resource(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/flask/views.py", line 110, in view return current_app.ensure_sync(self.dispatch_request)(**kwargs) # type: ignore[no-any-return] File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 604, in dispatch_request resp = meth(*args, **kwargs) File "/app/api/controllers/console/setup.py", line 86, in decorated return view(*args, **kwargs) File "/app/api/libs/login.py", line 91, in decorated_view return current_app.ensure_sync(func)(*args, **kwargs) File "/app/api/controllers/console/wraps.py", line 21, in decorated return view(*args, **kwargs) File "/app/api/controllers/console/datasets/hit_testing.py", line 83, in post raise InternalServerError(str(e)) werkzeug.exceptions.InternalServerError: 500 Internal Server Error: Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_4783a214_77f6_4c08_b906_985e764bd2ff_Node" on type "GetObjectsObj". Did you mean "Vector_index_7b33c44a_cf66_410c_b741_9d366eef0d6f_Node", "Vector_index_05be79ff_47f2_40d8_a320_4e8e4b126e5a_Node", "Vector_index_b8c0a266_8213_4c78_a8d7_de611697c079_Node", "Vector_index_e83fd1c5_742d_4943_ba91_57f151842dba_Node", or "Vector_index_923a570d_7d35_46be_99bf_40fe48b875da_Node"?', 'path': None}]; Error during query: [{'locations': [{'column': 6, 'line': 1}], 'message': 'Cannot query field "Vector_index_4783a214_77f6_4c08_b906_985e764bd2ff_Node" on type "GetObjectsObj". Did you mean "Vector_index_b8c0a266_8213_4c78_a8d7_de611697c079_Node", "Vector_index_7b33c44a_cf66_410c_b741_9d366eef0d6f_Node", "Vector_index_05be79ff_47f2_40d8_a320_4e8e4b126e5a_Node", "Vector_index_e83fd1c5_742d_4943_ba91_57f151842dba_Node", or "Vector_index_923a570d_7d35_46be_99bf_40fe48b875da_Node"?', 'path': None}] ``` but weaviate **None error**
yindo commented 2026-02-21 18:04:27 -05:00
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@zangkaiqiang commented on GitHub (Jun 24, 2024):

same error when change embedding method, and restore to the old embedding can not fix the error

@zangkaiqiang commented on GitHub (Jun 24, 2024): same error when change embedding method, and restore to the old embedding can not fix the error
yindo commented 2026-02-21 18:04:27 -05:00
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@hzjkaka commented on GitHub (Jul 15, 2024):

vdb: Weaviate
step: change text-embedding-ada-002 to text-embedding-3-large
We have the same error, using the vdb Weaviate, found that after switching to embedding_model, the index data of the previous model will be deleted.
Here are our guesses:
DatasetService. Update_dataset (dataset_id, data, user) will change the following action to update type after changing the model. After deal_dataset_vector_index_task is executed, the system clears the index and creates a new index after checking whether the update type is correct. Therefore, the old index is deleted in different models, causing the query to fail.
code are below:
Update_dataset：
if data['embedding_model_provider'] != dataset.embedding_model_provider or \ data['embedding_model'] != dataset.embedding_model: action = 'update'

deal_dataset_vector_index_task：
elif action == 'update': # clean index index_processor.clean(dataset, None, with_keywords=False)

Please help me to tell how it happened. Thanks.

@hzjkaka commented on GitHub (Jul 15, 2024): **vdb**: Weaviate **step**: change text-embedding-ada-002 to text-embedding-3-large We have the same error, using the vdb Weaviate, found that after switching to embedding_model, the index data of the previous model will be deleted. **Here are our guesses:** DatasetService. Update_dataset (dataset_id, data, user) will change the following action to update type after changing the model. After deal_dataset_vector_index_task is executed, the system clears the index and creates a new index after checking whether the update type is correct. Therefore, the old index is deleted in different models, causing the query to fail. **code are below:** Update_dataset： ` if data['embedding_model_provider'] != dataset.embedding_model_provider or \ data['embedding_model'] != dataset.embedding_model: action = 'update'` deal_dataset_vector_index_task： ` elif action == 'update': # clean index index_processor.clean(dataset, None, with_keywords=False)` Please help me to tell how it happened. Thanks.
yindo commented 2026-02-21 18:04:27 -05:00
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@crazywoola commented on GitHub (Aug 21, 2024):

@JohnJyong

@crazywoola commented on GitHub (Aug 21, 2024): @JohnJyong
yindo commented 2026-02-21 18:04:27 -05:00
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@soulzzz commented on GitHub (Sep 10, 2024):

same error when change embedding method, and restore to the old embedding can not fix the error

Same here,any fix?

@soulzzz commented on GitHub (Sep 10, 2024): > same error when change embedding method, and restore to the old embedding can not fix the error Same here,any fix?
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