Hi, is there a way to delete the previous snapshots? It seems I created snapshots too often and it takes up too much of space. I wonder if I can delete some of them.

if you don't store any valuable data in your storage, please try to clear /mnt/disks/sda/qdrant. Qdrant supports storage compatibility between consecutive versions

Hi thanks @andrey.vasnetsov ! So it is reproducible and this error is seen while running out of Rust tests where I am setting up a wrapper around qdrant for querying my data. It appears to only happen on the create collection requests? On create collection requests, I get the service was not ready error, but when I search I get an error that the collection I am intending to search does not exist

Hello Qdrant team! We have a philosophical question about Qdrant. We are planning to store 1B objects in a qdrant collection, with vectors and a small payload comprised of our objects' labels as we already discussed. The use-case is of course to do similarity search between the objects and constraint this search using the labels. But we would also like to have a reference database for our objects, to query them (without similarity search), and have more contextual data attached (creation dates, user ids, nested data and lot more). We were wondering if you think Qdrant could be suitable as a database + a vector search engine, and is this a use-case for which you will build features in the future (more payload types, filtering performance optimizations...). Or would you advice to use a secondary database and focus on using Qdrant as a vector search engine in sync with a primary storage?

Hello @andrey.vasnetsov , We can save embedded text in qdrant and then search from it... but is there any way to save embedded list of strings in our database and then do the search part ?

so i think is not possible to run two nodes on the same OS

Hi, When we have several vectors in qdrant, for example, the vector of color, objects, and scene features, when we enter all three in the search, does it consider the distance based on the middle of these? If I want to arrange to filter based on, for example, color, then the rest, what do you think I should do?

Does any vector database like Qdrant exist for the browser/IndexDB?

Then, ```python collection_info = qdrant.get_collection(collection_name=collection_name) collection_info.dict() ``` returns ```json {'status': , 'optimizer_status': , 'vectors_count': 0, 'indexed_vectors_count': 0, 'points_count': 0, 'segments_count': 8, 'config': {...} } ```

i am using the qdrant-client==0.11.5 python client , and so most of the times this piece of code works fine but have noticed some times i am getting the `[Errno 32] Broken pipe` code that i am using to do upload `client.upload_collection(collection_name=product_collection_name, vectors=text_embeddings, payload=text_payloads, ids=text_ids, batch_size=100) ` client creation code piece : `QdrantClient(host=app.config['VECTOR_DB_HOST'], port=app.config['VECTOR_DB_PORT'], timeout=Timeout(timeout=300]))`