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

embedchain/config/vector_db/pinecone.py

@@ -0,0 +1,47 @@
+import os
+from typing import Optional
+
+from embedchain.config.vector_db.base import BaseVectorDbConfig
+from embedchain.helpers.json_serializable import register_deserializable
+
+
+@register_deserializable
+class PineconeDBConfig(BaseVectorDbConfig):
+    def __init__(
+        self,
+        index_name: Optional[str] = None,
+        api_key: Optional[str] = None,
+        vector_dimension: int = 1536,
+        metric: Optional[str] = "cosine",
+        pod_config: Optional[dict[str, any]] = None,
+        serverless_config: Optional[dict[str, any]] = None,
+        hybrid_search: bool = False,
+        bm25_encoder: any = None,
+        batch_size: Optional[int] = 100,
+        **extra_params: dict[str, any],
+    ):
+        self.metric = metric
+        self.api_key = api_key
+        self.index_name = index_name
+        self.vector_dimension = vector_dimension
+        self.extra_params = extra_params
+        self.hybrid_search = hybrid_search
+        self.bm25_encoder = bm25_encoder
+        self.batch_size = batch_size
+        if pod_config is None and serverless_config is None:
+            # If no config is provided, use the default pod spec config
+            pod_environment = os.environ.get("PINECONE_ENV", "gcp-starter")
+            self.pod_config = {"environment": pod_environment, "metadata_config": {"indexed": ["*"]}}
+        else:
+            self.pod_config = pod_config
+        self.serverless_config = serverless_config
+
+        if self.pod_config and self.serverless_config:
+            raise ValueError("Only one of pod_config or serverless_config can be provided.")
+
+        if self.hybrid_search and self.metric != "dotproduct":
+            raise ValueError(
+                "Hybrid search is only supported with dotproduct metric in Pinecone. See full docs here: https://docs.pinecone.io/docs/hybrid-search#limitations"
+            )  # noqa:E501
+
+        super().__init__(collection_name=self.index_name, dir=None)