query_points raise exception: ResponseHandlingException: 1 validation error for ParsingModel[InlineResponse20021] (for parse_as_type)

[hgye]

hi,
I build collection with dense and sparse vector config, try to do query_points with a query. Backtrace are below:

Fetching 5 files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 48998.88it/s]
None
---------------------------------------------------------------------------
ValidationError                           Traceback (most recent call last)
File ~/miniconda3/envs/ktbot/lib/python3.12/site-packages/qdrant_client/http/api_client.py:99, in ApiClient.send(self, request, type_)
     98 try:
---> 99     return parse_as_type(response.json(), type_)
    100 except ValidationError as e:

File ~/miniconda3/envs/ktbot/lib/python3.12/site-packages/qdrant_client/http/api_client.py:218, in parse_as_type(obj, type_)
    217 model_type = _get_parsing_type(type_, source=parse_as_type.__name__)
--> 218 return model_type(obj=obj).obj

File ~/miniconda3/envs/ktbot/lib/python3.12/site-packages/pydantic/main.py:341, in pydantic.main.BaseModel.__init__()

ValidationError: 1 validation error for ParsingModel[InlineResponse20021] (for parse_as_type)
obj -> result
  value is not a valid dict (type=type_error.dict)

During handling of the above exception, another exception occurred:

ResponseHandlingException                 Traceback (most recent call last)
File ~/git/langchain-play/test.py:50
     48 dense_query = embeddings.embed_query("What is your name?")
     49 collection_name = "ktbot_hybrid_col"
---> 50 client.query_points(
     51     collection_name="ktbot_hybrid_col",
     52     prefetch=[
     53         models.Prefetch(
     54             query=sparse_vec,
     55             using="text-sparse",
     56             limit=20,
     57         ),
     58         models.Prefetch(
     59             query=dense_query,  # <-- dense vector
     60             using="text-dense",
     61             limit=20,
     62         ),
     63     ],
     64     query=models.FusionQuery(fusion=models.Fusion.RRF),
     65     limit=5
     66 )

File ~/miniconda3/envs/ktbot/lib/python3.12/site-packages/qdrant_client/qdrant_client.py:528, in QdrantClient.query_points(self, collection_name, query, using, prefetch, query_filter, search_params, limit, offset, with_payload, with_vectors, score_threshold, lookup_from, consistency, shard_key_selector, timeout, **kwargs)
    522 # If the query contains unprocessed documents, we need to embed them and
    523 # replace the original query with the embedded vectors.
    524 using, query, prefetch = self._resolve_query_to_embedding_embeddings_and_prefetch(
    525     query, prefetch, using, limit
    526 )
--> 528 return self._client.query_points(
    529     collection_name=collection_name,
    530     query=query,
    531     prefetch=prefetch,
    532     query_filter=query_filter,
    533     search_params=search_params,
    534     limit=limit,
    535     offset=offset,
    536     with_payload=with_payload,
    537     with_vectors=with_vectors,
    538     score_threshold=score_threshold,
    539     using=using,
    540     lookup_from=lookup_from,
    541     consistency=consistency,
    542     shard_key_selector=shard_key_selector,
    543     timeout=timeout,
    544     **kwargs,
    545 )

File ~/miniconda3/envs/ktbot/lib/python3.12/site-packages/qdrant_client/qdrant_remote.py:660, in QdrantRemote.query_points(self, collection_name, query, using, prefetch, query_filter, search_params, limit, offset, with_payload, with_vectors, score_threshold, lookup_from, consistency, shard_key_selector, timeout, **kwargs)
    643     lookup_from = GrpcToRest.convert_lookup_location(lookup_from)
    645 query_request = models.QueryRequest(
    646     shard_key=shard_key_selector,
    647     prefetch=prefetch,
   (...)
    657     lookup_from=lookup_from,
    658 )
--> 660 query_result = self.http.points_api.query_points(
    661     collection_name=collection_name,
    662     consistency=consistency,
    663     timeout=timeout,
    664     query_request=query_request,
    665 )
    667 result: Optional[models.QueryResponse] = query_result.result
    668 assert result is not None, "Search returned None"

File ~/miniconda3/envs/ktbot/lib/python3.12/site-packages/qdrant_client/http/api/points_api.py:1407, in SyncPointsApi.query_points(self, collection_name, consistency, timeout, query_request)
   1397 def query_points(
   1398     self,
   1399     collection_name: str,
   (...)
   1402     query_request: m.QueryRequest = None,
   1403 ) -> m.InlineResponse20021:
   1404     """
   1405     Universally query points. This endpoint covers all capabilities of search, recommend, discover, filters. But also enables hybrid and multi-stage queries.
   1406     """
-> 1407     return self._build_for_query_points(
   1408         collection_name=collection_name,
   1409         consistency=consistency,
   1410         timeout=timeout,
   1411         query_request=query_request,
   1412     )

File ~/miniconda3/envs/ktbot/lib/python3.12/site-packages/qdrant_client/http/api/points_api.py:469, in _PointsApi._build_for_query_points(self, collection_name, consistency, timeout, query_request)
    467 if "Content-Type" not in headers:
    468     headers["Content-Type"] = "application/json"
--> 469 return self.api_client.request(
    470     type_=m.InlineResponse20021,
    471     method="POST",
    472     url="/collections/{collection_name}/points/query",
    473     headers=headers if headers else None,
    474     path_params=path_params,
    475     params=query_params,
    476     content=body,
    477 )

File ~/miniconda3/envs/ktbot/lib/python3.12/site-packages/qdrant_client/http/api_client.py:79, in ApiClient.request(self, type_, method, url, path_params, **kwargs)
     77     kwargs["timeout"] = int(kwargs["params"]["timeout"])
     78 request = self._client.build_request(method, url, **kwargs)
---> 79 return self.send(request, type_)

File ~/miniconda3/envs/ktbot/lib/python3.12/site-packages/qdrant_client/http/api_client.py:101, in ApiClient.send(self, request, type_)
     99         return parse_as_type(response.json(), type_)
    100     except ValidationError as e:
--> 101         raise ResponseHandlingException(e)
    102 raise UnexpectedResponse.for_response(response)

ResponseHandlingException: 1 validation error for ParsingModel[InlineResponse20021] (for parse_as_type)
obj -> result
  value is not a valid dict (type=type_error.dict)
> /home/hye/miniconda3/envs/ktbot/lib/python3.12/site-packages/qdrant_client/http/api_client.py(101)send()
     99                 return parse_as_type(response.json(), type_)
    100             except ValidationError as e:
--> 101                 raise ResponseHandlingException(e)
    102         raise UnexpectedResponse.for_response(response)
    103

And I using debug to find reponse:

ipdb> response.status_code
200
ipdb> response.json().keys()
dict_keys(['result', 'status', 'time'])
ipdb> len(response.json()['result'])
5

Three keys are meet with InlineResponse20021

class InlineResponse20020(BaseModel):
    time: Optional[float] = Field(default=None, description="Time spent to process this request")
    status: Optional[str] = Field(default=None, description="")
    result: Optional["CountResult"] = Field(default=None, description="")

Why this line in file api_client.py, line 99

parse_as_type(response.json(), type_)

failed?

[joein]

Hi @hgye
Could you show the value of result, please?
(not just its length)

Could you also tell us the version of qdrant and qdrant-client you are using

[hgye]

hi @joein

Qdrant version is Qdrant v1.9.5
Qdrant Python version is qdrant-client 1.10.0

And value of result is:

ipdb> response.json().keys()
dict_keys(['result', 'status', 'time'])
ipdb> type(response.json()['result'])
<class 'list'>
ipdb> type(response.json()['result'][0])
<class 'dict'>
ipdb> response.json()['result']
[{'id': '7480722b-b4bc-530f-b79e-eda0fcd001a9', 'version': 0, 'score': 1.0, 'payload': {'metadata': {'category': 'CompositeElement', 'emphasized_text_contents': ['AXOS Overview'], 'emphasized_text_tags': ['b'], 'file_directory': 'docs-bkt-11b22497-d57d-4aa5-b1ed-872896fba38f', 'filename': 'AXOS Overview.docx', 'filetype': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'languages': ['eng'], 'orig_elements': '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'}, 'page_content': 'AXOS Overview\n\nAXOS is a software platform built specifically for the access network. AXOS hierarchically separates the management, control, and data planes; uses modular software that can be independently developed and tested; and is decoupled from the hardware it is running on so new technologies can be added to keep up with subscriber demand without impacting services.'}, 'vector': None, 'order_value': None}, {'id': '7e4688f4-b7ba-509f-a7d6-4d030b8ea55a', 'version': 0, 'score': 0.5833334, 'payload': {'metadata': {'category': 'CompositeElement', 'file_directory': 'docs-bkt-11b22497-d57d-4aa5-b1ed-872896fba38f', 'filename': 'AXOS Overview.docx', 'filetype': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'languages': ['eng'], 'orig_elements': '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'}, 'page_content': 'And because AXOS is “stateful”, it maintains the system state separately from the individual processes. In the event of failure, the application is automatically restarted and restored to its pre-failure state. This provides the ability to deliver new features or fixes without any impact to subscribers. It also allows for individual processes to be upgraded “on the fly” without impacting the system, network, or subscriber services.'}, 'vector': None, 'order_value': None}, {'id': '91d50d2e-2b78-51ec-a914-3cad8664dbcb', 'version': 0, 'score': 0.39285713, 'payload': {'metadata': {'category': 'CompositeElement', 'emphasized_text_contents': ['AXOS Architecture'], 'emphasized_text_tags': ['b'], 'file_directory': 'docs-bkt-11b22497-d57d-4aa5-b1ed-872896fba38f', 'filename': 'AXOS Overview.docx', 'filetype': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'languages': ['eng'], 'orig_elements': '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'}, 'page_content': 'AXOS Architecture\n\nAXOS has two abstraction layers: hardware abstraction and service abstraction.\xa0\n\nWith the hardware abstraction layer, we are abstracting the underlying hardware from the AXOS software and running the same AXOS software, whether PON based technology, Ethernet, or copper-based technology. The AXOS Sandbox allows you to build a virtual edge-to-edge Software Defined Access network that speeds OSS integration and software certification, enabling rapid deployment on all platforms.'}, 'vector': None, 'order_value': None}, {'id': '46740be6-f3bf-5cda-889a-e8a9db8e26bd', 'version': 0, 'score': 0.33333334, 'payload': {'metadata': {'category': 'CompositeElement', 'file_directory': 'docs-bkt-11b22497-d57d-4aa5-b1ed-872896fba38f', 'filename': 'AXOS Overview.docx', 'filetype': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'languages': ['eng'], 'orig_elements': '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'}, 'page_content': 'AXOS provides a modular architecture where the modules have standard Application Programming Interfaces (APIs) similar to building blocks. You can easily fit the modules together with the standard interface and add more modules.\n\nAXOS supports the following platforms:\n\nE7-2\n\nE9-2 CLX and Aggregation Services Manager (ASM)\n\nE3-2 remote access node'}, 'vector': None, 'order_value': None}, {'id': '28189fa3-4e4d-5a8b-8c69-ceddc99ec467', 'version': 3, 'score': 0.2777778, 'payload': {'metadata': {'category': 'CompositeElement', 'file_directory': 'docs-bkt-11b22497-d57d-4aa5-b1ed-872896fba38f', 'filename': 'axos-r24x-mmtg.docx', 'filetype': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'languages': ['eng'], 'orig_elements': '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', 'page_number': 45}, 'page_content': 'AXOS Diagnostics Toolbox Utilities\n\nThe AXOS platform supports several native software diagnostic utilities that you can use to verify, validate, analyze, and troubleshoot broadband traffic across an AXOS network. Collectively, these utilities are known as the AXOS Diagnostics Toolbox. Operators can leverage these Toolbox utilities to identify and resolve subscriber issues remotely and in real time without costly truck rolls.'}, 'vector': None, 'order_value': None}]

Please have a look.
Thanks.

[hgye]

Hi, @joein
I think I found something strange here:

The query result vector is None

But if I using curl to points api to get result, this time '.result.vector' had two vectors, one is test-sparse, another is text-dense

❯ curl  'http://localhost:6333/collections/ktbot_hybrid_col/points/001c98e2-d7e8-5cdc-8664-b1db988c42c4'
{"result":{"id":"001c98e2-d7e8-5cdc-8664-b1db988c42c4","payload":{"metadata":{"category":"CompositeElement","file_directory":"docs-bkt-11b22497-d57d-4aa5-b1ed-872896fba38f","filename":"axos-r24x-mmtg.docx","filetype":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","languages":["eng"],"orig_elements":"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","page_number":200},"page_content":"PON OIMs with a single laser, use the first logical port number within a physical port.\n\nFor single mode optics (GPON or XGS-PON), the odd numbered interfaces xp1, xp3, xp5 ... xp31 are active, and the even numbered interfaces xp2, xp4, xp6 ... xp32 are not used.\n\nPON OIMs with two lasers, use both logical port numbers within a physical port.\n\nFor a dual-density (XGS-PON) optics the odd and even numbered interfaces are available for XGS-PON (using 2 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[joein]

Hi @hgye

The problem is that the query_points api is supported as of qdrant v1.10, you'd need to update the version of qdrant in order to use this functionality

[puyuanOT]

@joein Does that mean the database needs to be created with qdrant version > 1.10?

[hgye]

Both of client and server(DB itself) should be >= 1.10

Even through the response is 200( it is misleading although).

[puyuanOT]

Both of client and server(DB itself) should be >= 1.10

Even through the response is 200( it is misleading although).

Thank you!

[puyuanOT]

@hgye Is it possible to upgrade the version of an existing qdrant db to 1.10 without recreating it?

[hgye]

@hgye Is it possible to upgrade the version of an existing qdrant db to 1.10 without recreating it?

I'm not sure.
In my case, my DB is v1.9, I can insert to DB with multi-vector successfully. But retrieval(query_points) failed to get results.
So I just upgrade DB without re-create it. It's OK.

[joein]

You can update it without recreating collections, but we guarantee compatibility only between 2 subsequent version, for example, if you're using qdrant v1.7, you'll need to update it in the following order:
v1.7 -> v1.8 -> v1.9 -> v1.10

[joein]

https://qdrant.tech/documentation/faq/qdrant-fundamentals/#versioning

[puyuanOT]

@joein Thank you! I updated the version of Qdrant on the server and it's working now.