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def index_profiles_data(
pinecone_index,
nodes: Optional[List[BaseNode]] = None,
namespace: str = "test_namespace",
) -> VectorStoreIndex:
"""Indexes the profiles data using a VectorStore.
Args:
nodes: List[BaseNode]: List of nodes to index.
pinecone_index: Pinecone: Pinecone index object.
namespace: str: Namespace for the Pinecone vector store.
Returns:
VectorStoreIndex: Index that can be used for retrieval and querying.
"""
# Setup Pinecone Vector Store
vector_store = PineconeVectorStore(
pinecone_index=pinecone_index, namespace=namespace
)
if nodes:
storage_context = StorageContext.from_defaults(
vector_store=vector_store
)
# Create Vector Store Index
vector_store_index = VectorStoreIndex(nodes=nodes, storage_context=storage_context)
else:
vector_store_index = VectorStoreIndex.from_vector_store(
vector_store=vector_store
)
logging.info("Vector store index created and ready for use.")
return vector_store_indexValueError stating that the vector store only supports exact match filters. Th error message is:ValueError: Vector Store only supports exact match filters. Please use ExactMatchFilter or FilterOperator.EQ instead.
FilterOperator.LTE).Who are some founders that are 30 or belowMetadataFilters(filters=[MetadataFilter(key='age', value=30, operator=<FilterOperator.LTE: '<='>)], condition=<FilterCondition.AND: 'and'>)
def _transform_pinecone_filter_operator(operator: str) -> str:
"""Translate standard metadata filter operator to Pinecone specific spec."""
print(f"DEBUG: The incoming operator is {operator} from the code")
...
elif operator == ">=":
return "$gte"
elif operator == "<=":
return "$lte"
...