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In below example: At
I am getting error:
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To resolve the error "Can't instantiate abstract class VectorStore2 without an implementation for abstract method 'client'", you need to provide an implementation for the from llama_index.vector_stores.qdrant.base import VectorStore2
class MyVectorStore(VectorStore2):
@property
def client(self):
# Provide the implementation for the abstract method 'client'
return None # or return the actual client instance
# Now you can instantiate MyVectorStore
my_vector_store = MyVectorStore(
collection_name="my_collection",
url="http://localhost:6333",
api_key="your_api_key",
batch_size=100,
parallel=True,
max_retries=3,
client_kwargs={},
enable_hybrid=True,
index_doc_id=True
)
# Example usage
test_node = TextNode(id_="id1", text="hello world")
test_node2 = TextNode(id_="id2", text="foo bar")
test_nodes = [test_node, test_node2]
# Add nodes to the vector store
my_vector_store.add(test_nodes) In this example, |
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To resolve the error "Can't instantiate abstract class VectorStore2 without an implementation for abstract method 'client'", you need to provide an implementation for the
client
method. Here's how you can do it: