Refactoring vectordb naming convention in embedchain.config (#1469)

embedchain/config/vector_db/qdrant.py

@@ -0,0 +1,48 @@
+from typing import Optional
+
+from embedchain.config.vector_db.base import BaseVectorDbConfig
+from embedchain.helpers.json_serializable import register_deserializable
+
+
+@register_deserializable
+class QdrantDBConfig(BaseVectorDbConfig):
+    """
+    Config to initialize a qdrant client.
+    :param: url. qdrant url or list of nodes url to be used for connection
+    """
+
+    def __init__(
+        self,
+        collection_name: Optional[str] = None,
+        dir: Optional[str] = None,
+        hnsw_config: Optional[dict[str, any]] = None,
+        quantization_config: Optional[dict[str, any]] = None,
+        on_disk: Optional[bool] = None,
+        batch_size: Optional[int] = 10,
+        **extra_params: dict[str, any],
+    ):
+        """
+        Initializes a configuration class instance for a qdrant client.
+
+        :param collection_name: Default name for the collection, defaults to None
+        :type collection_name: Optional[str], optional
+        :param dir: Path to the database directory, where the database is stored, defaults to None
+        :type dir: Optional[str], optional
+        :param hnsw_config: Params for HNSW index
+        :type hnsw_config: Optional[dict[str, any]], defaults to None
+        :param quantization_config: Params for quantization, if None - quantization will be disabled
+        :type quantization_config: Optional[dict[str, any]], defaults to None
+        :param on_disk: If true - point`s payload will not be stored in memory.
+                It will be read from the disk every time it is requested.
+                This setting saves RAM by (slightly) increasing the response time.
+                Note: those payload values that are involved in filtering and are indexed - remain in RAM.
+        :type on_disk: bool, optional, defaults to None
+        :param batch_size: Number of items to insert in one batch, defaults to 10
+        :type batch_size: Optional[int], optional
+        """
+        self.hnsw_config = hnsw_config
+        self.quantization_config = quantization_config
+        self.on_disk = on_disk
+        self.batch_size = batch_size
+        self.extra_params = extra_params
+        super().__init__(collection_name=collection_name, dir=dir)