hello everyone, I'm working with qdrant

Hey!
So qdrant does not show embeddings on the UI as embeddings are very large matrix.

But if you scroll a bit down on the UI, it shows Copy Vectors or something related to that at the end of node. From there you can copy the vector for that particular node

thanks for reply! I tryied to copy the embedding but it looks nothing inside...also if a call

POST collections/portal/points/scroll
{
"limit": 10
}

from console, the vector field is empty

This is on the UI right?
With this endpoint this becomes more of Qdrant question and less LlamaIndex 😅

not much idea for Qdrant API

i think is more a problem with llama index qdrant works pretty well the only things is that when I create a vectore index in llama index nodes in qdrant are populated but the vector field is empty

client = QdrantClient(
url=cloud_qdrant,
api_key=api_key,
)
vector_store = QdrantVectorStore(collection_name=self.engine.url.database, client=self.client)
storage_context = StorageContext.from_defaults(vector_store=vector_store)
vect_index = VectorStoreIndex(nodes=nodes, storage_context=storage_context)

this is my code

nodes are llama index TextNodes

finally it was a wrong command in qdrant console, the "with_vectors" tag was missing

POST collections/portal/points/scroll
{
"limit": 10,
"with_vectors": true
}

now I can see the vectors 😅 thanks again