PineconeApiAttributeError: ScoredVector has no attribute 'metadata' at ['['received_data', 'matches', 0]']['metadata']

[pratim808]

After executing this code
query = "Django javascript integration"

docs = docsearch.similarity_search(query, k=3)
print("Result:", docs)

I am getting this error how can i solve this error

PineconeApiAttributeError Traceback (most recent call last)
Cell In[25], line 3
1 query = "Django javascript integration"
----> 3 docs = docsearch.similarity_search(query, k=3)
4 print("Result:", docs)

File /opt/conda/lib/python3.10/site-packages/langchain_community/vectorstores/pinecone.py:234, in Pinecone.similarity_search(self, query, k, filter, namespace, **kwargs)
215 def similarity_search(
216 self,
217 query: str,
(...)
221 **kwargs: Any,
222 ) -> List[Document]:
223 """Return pinecone documents most similar to query.
224
225 Args:
(...)
232 List of Documents most similar to the query and score for each
233 """
--> 234 docs_and_scores = self.similarity_search_with_score(
235 query, k=k, filter=filter, namespace=namespace, **kwargs
236 )
237 return [doc for doc, _ in docs_and_scores]

File /opt/conda/lib/python3.10/site-packages/langchain_community/vectorstores/pinecone.py:179, in Pinecone.similarity_search_with_score(self, query, k, filter, namespace)
161 def similarity_search_with_score(
162 self,
163 query: str,
(...)
166 namespace: Optional[str] = None,
167 ) -> List[Tuple[Document, float]]:
168 """Return pinecone documents most similar to query, along with scores.
169
170 Args:
(...)
177 List of Documents most similar to the query and score for each
178 """
--> 179 return self.similarity_search_by_vector_with_score(
180 self._embed_query(query), k=k, filter=filter, namespace=namespace
181 )

File /opt/conda/lib/python3.10/site-packages/langchain_community/vectorstores/pinecone.py:204, in Pinecone.similarity_search_by_vector_with_score(self, embedding, k, filter, namespace)
196 results = self._index.query(
197 vector=[embedding],
198 top_k=k,
(...)
201 filter=filter,
202 )
203 for res in results["matches"]:
--> 204 metadata = res["metadata"]
205 if self._text_key in metadata:
206 text = metadata.pop(self._text_key)

File /opt/conda/lib/python3.10/site-packages/pinecone/core/openapi/shared/model_utils.py:446, in ModelNormal.getitem(self, name)
443 if name in self:
444 return self.get(name)
--> 446 raise PineconeApiAttributeError(
447 "{0} has no attribute '{1}'".format(type(self).name, name), [e for e in [self._path_to_item, name] if e]
448 )

PineconeApiAttributeError: ScoredVector has no attribute 'metadata' at ['['received_data', 'matches', 0]']['metadata']