When choose retrieval_method= "multi_qns" get error: "Expected document to be a str"

[linuaries]

I have modified this repo by change openai with AzureOpenAI, and it works with "navie" and "HYDE"

here is the visualization with navie RAG

But fails with multi_qns, any solution?

Desktop (please complete the following information):

• OS: WSL2 with Ubuntu20.04
• Version v0.01.10

Additional context
Add any other context about the problem here.

Here is the error information:
"{
"name": "ValueError",
"message": "Expected document to be a str, got ['What is Castrol AWS 150?', 'What is the ASTM D892 test?', 'Has Castrol AWS 150 been tested using ASTM D892?', 'Where can I find the test results for Castrol AWS 150?', 'What are the typical results for the ASTM D892 test?'] in query.",
"stack": "---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
File ~/.local/lib/python3.11/site-packages/chromadb/api/models/CollectionCommon.py:90, in validation_context..decorator..wrapper(self, *args, **kwargs)
89 try:
---> 90 return func(self, *args, **kwargs)
91 except Exception as e:

File ~/.local/lib/python3.11/site-packages/chromadb/api/models/CollectionCommon.py:293, in CollectionCommon._validate_and_prepare_query_request(self, query_embeddings, query_texts, query_images, query_uris, n_results, where, where_document, include)
292 # Validate
--> 293 validate_base_record_set(record_set=query_records)
294 validate_filter_set(filter_set=filters)

File ~/.local/lib/python3.11/site-packages/chromadb/api/types.py:204, in validate_base_record_set(record_set)
203 if record_set["documents"] is not None:
--> 204 validate_documents(
205 documents=record_set["documents"],
206 # If embeddings are present, some documents can be None
207 nullable=(record_set["embeddings"] is not None),
208 )
209 if record_set["images"] is not None:

File ~/.local/lib/python3.11/site-packages/chromadb/api/types.py:800, in validate_documents(documents, nullable)
799 if not is_document(document):
--> 800 raise ValueError(f"Expected document to be a str, got {document}")

ValueError: Expected document to be a str, got ['What is Castrol AWS 150?', 'What is the ASTM D892 test?', 'Has Castrol AWS 150 been tested using ASTM D892?', 'Where can I find the test results for Castrol AWS 150?', 'What are the typical results for the ASTM D892 test?']

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
Cell In[8], line 7
1 client_openai = RAGxplorer(embedding_model="text-embedding-3-small")
2 client_openai.load_pdf(
3 document_path=pdf_path,
4 chunk_size=200,
5 chunk_overlap=50,
6 verbose=True)
----> 7 client_openai.visualize_query(
8 query=question,
9 #"What measures are being taken to cultivate and attract top AI talent to Singapore?",
10 retrieval_method= "multi_qns",#"HyDE",#"naive", "HyDE", "multi_qns"
11 top_k=6,
12 query_shape_size=10
13 )

File ~/miniconda3/envs/env_rag/lib/python3.11/site-packages/ragxplorer-0.1.10-py3.11.egg/ragxplorer/ragxplorer.py:179, in RAGxplorer.visualize_query(self, query, retrieval_method, top_k, query_shape_size, import_projection_data)
175 raise OSError("AZURE_OPENAI_ENDPOINT is not set")
177 self._query.actual_search_queries = generate_sub_qn(query=self._query.original_query)
--> 179 self._query.retrieved_docs = query_chroma(chroma_collection=self._vectordb,
180 query=self._query.actual_search_queries,
181 top_k=top_k)
183 self._VizData.base_df.loc[self._VizData.base_df['id'].isin(self._query.retrieved_docs), "category"] = "Retrieved"
185 self._VizData.visualisation_df = pd.concat([self._VizData.base_df, self._VizData.query_df], axis = 0)

File ~/miniconda3/envs/env_rag/lib/python3.11/site-packages/ragxplorer-0.1.10-py3.11.egg/ragxplorer/rag.py:100, in query_chroma(chroma_collection, query, top_k)
88 def query_chroma(chroma_collection: chromadb.Collection, query: str, top_k: int) -> List[str]:
89 """
90 Queries the Chroma collection for the top_k most relevant chunks to the input query.
91
(...)
98 A list of retrieved chunk IDs.
99 """
--> 100 results = chroma_collection.query(query_texts=[query], n_results=top_k, include=['documents', 'embeddings'])
101 retrieved_id = results['ids'][0]
102 return retrieved_id

File ~/.local/lib/python3.11/site-packages/chromadb/api/models/Collection.py:210, in Collection.query(self, query_embeddings, query_texts, query_images, query_uris, n_results, where, where_document, include)
167 def query(
168 self,
169 query_embeddings: Optional[
(...)
185 ],
186 ) -> QueryResult:
187 """Get the n_results nearest neighbor embeddings for provided query_embeddings or query_texts.
188
189 Args:
(...)
207
208 """
--> 210 query_request = self._validate_and_prepare_query_request(
211 query_embeddings=query_embeddings,
212 query_texts=query_texts,
213 query_images=query_images,
214 query_uris=query_uris,
215 n_results=n_results,
216 where=where,
217 where_document=where_document,
218 include=include,
219 )
221 query_results = self._client._query(
222 collection_id=self.id,
223 query_embeddings=query_request["embeddings"],
(...)
229 database=self.database,
230 )
232 return self._transform_query_response(
233 response=query_results, include=query_request["include"]
234 )

File ~/.local/lib/python3.11/site-packages/chromadb/api/models/CollectionCommon.py:93, in validation_context..decorator..wrapper(self, *args, **kwargs)
91 except Exception as e:
92 msg = f"{str(e)} in {name}."
---> 93 raise type(e)(msg).with_traceback(e.traceback)

File ~/.local/lib/python3.11/site-packages/chromadb/api/models/CollectionCommon.py:90, in validation_context..decorator..wrapper(self, *args, **kwargs)
87 @functools.wraps(func)
88 def wrapper(self: Any, *args: Any, **kwargs: Any) -> T:
89 try:
---> 90 return func(self, *args, **kwargs)
91 except Exception as e:
92 msg = f"{str(e)} in {name}."

File ~/.local/lib/python3.11/site-packages/chromadb/api/models/CollectionCommon.py:293, in CollectionCommon._validate_and_prepare_query_request(self, query_embeddings, query_texts, query_images, query_uris, n_results, where, where_document, include)
287 filters = FilterSet(
288 where=where,
289 where_document=where_document,
290 )
292 # Validate
--> 293 validate_base_record_set(record_set=query_records)
294 validate_filter_set(filter_set=filters)
295 validate_include(include=include)

File ~/.local/lib/python3.11/site-packages/chromadb/api/types.py:204, in validate_base_record_set(record_set)
202 validate_embeddings(embeddings=record_set["embeddings"])
203 if record_set["documents"] is not None:
--> 204 validate_documents(
205 documents=record_set["documents"],
206 # If embeddings are present, some documents can be None
207 nullable=(record_set["embeddings"] is not None),
208 )
209 if record_set["images"] is not None:
210 validate_images(images=record_set["images"])

File ~/.local/lib/python3.11/site-packages/chromadb/api/types.py:800, in validate_documents(documents, nullable)
798 continue
799 if not is_document(document):
--> 800 raise ValueError(f"Expected document to be a str, got {document}")

ValueError: Expected document to be a str, got ['What is Castrol AWS 150?', 'What is the ASTM D892 test?', 'Has Castrol AWS 150 been tested using ASTM D892?', 'Where can I find the test results for Castrol AWS 150?', 'What are the typical results for the ASTM D892 test?'] in query."
}"