embedding is None in query reponse about qdrant-client

[joein]

Hi @DiTo97

Could you send a code sample of how you search?

The problem is probably in with_vectors argument, you need to set it to True in search operations so they would return vectors in response

[DiTo97]

Hi @joein,

I had been trying the example in the README, but I can confirm it's working as expected after adding with_vectors.

The example is the following:

import qdrant_client

# Initialize the client
client = qdrant_client.QdrantClient(":memory:")

# Prepare your documents, metadata, and IDs
docs = ["Qdrant has Langchain integrations", "Qdrant also has Llama Index integrations"]
metadata = [
    {"source": "Langchain-docs"},
    {"source": "Linkedin-docs"},
]
ids = [42, 2]

# Use the new add method
client.add(
    collection_name="demo_collection",
    documents=docs,
    metadata=metadata,
    ids=ids
)

search_result = client.query(
    collection_name="demo_collection",
    query_text="This is a query document"
)
print(search_result)