| `n_dim` | Number of dimensions of embeddings to be stored and retrieved | **This is always required** |

| `collection_name` | Qdrant collection name client | **Random collection name generated** |

| `host` | Hostname of the Qdrant server | 'localhost' |

| `distance` | Distance metric to be used during search. Can be 'cosine', 'dot' or 'euclidean' | 'cosine' |

| `scroll_batch_size` | batch size used when scrolling over the storage | 64 |

| `ef_construct` | Number of neighbours to consider during the index building. Larger the value - more accurate the search, more time required to build index. | `None`, defaults to the default value in Qdrant* |