39 lines
1.5 KiB
Python
39 lines
1.5 KiB
Python
import os
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from typing import Optional
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from embedchain.config.vectordb.base import BaseVectorDbConfig
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from embedchain.helpers.json_serializable import register_deserializable
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@register_deserializable
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class PineconeDBConfig(BaseVectorDbConfig):
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def __init__(
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self,
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collection_name: Optional[str] = None,
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api_key: Optional[str] = None,
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index_name: Optional[str] = None,
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dir: Optional[str] = None,
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vector_dimension: int = 1536,
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metric: Optional[str] = "cosine",
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pod_config: Optional[dict[str, any]] = None,
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serverless_config: Optional[dict[str, any]] = None,
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**extra_params: dict[str, any],
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):
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self.metric = metric
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self.api_key = api_key
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self.vector_dimension = vector_dimension
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self.extra_params = extra_params
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self.index_name = index_name or f"{collection_name}-{vector_dimension}".lower().replace("_", "-")
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if pod_config is None and serverless_config is None:
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# If no config is provided, use the default pod spec config
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pod_environment = os.environ.get("PINECONE_ENV", "gcp-starter")
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self.pod_config = {"environment": pod_environment, "metadata_config": {"indexed": ["*"]}}
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else:
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self.pod_config = pod_config
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self.serverless_config = serverless_config
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if self.pod_config and self.serverless_config:
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raise ValueError("Only one of pod_config or serverless_config can be provided.")
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super().__init__(collection_name=collection_name, dir=None)
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