42 lines
1.8 KiB
Python
42 lines
1.8 KiB
Python
from typing import Optional
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from embedchain.config.vector_db.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 ChromaDbConfig(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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dir: Optional[str] = None,
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host: Optional[str] = None,
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port: Optional[str] = None,
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batch_size: Optional[int] = 100,
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allow_reset=False,
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chroma_settings: Optional[dict] = None,
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):
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"""
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Initializes a configuration class instance for ChromaDB.
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:param collection_name: Default name for the collection, defaults to None
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:type collection_name: Optional[str], optional
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:param dir: Path to the database directory, where the database is stored, defaults to None
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:type dir: Optional[str], optional
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:param host: Database connection remote host. Use this if you run Embedchain as a client, defaults to None
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:type host: Optional[str], optional
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:param port: Database connection remote port. Use this if you run Embedchain as a client, defaults to None
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:type port: Optional[str], optional
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:param batch_size: Number of items to insert in one batch, defaults to 100
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:type batch_size: Optional[int], optional
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:param allow_reset: Resets the database. defaults to False
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:type allow_reset: bool
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:param chroma_settings: Chroma settings dict, defaults to None
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:type chroma_settings: Optional[dict], optional
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"""
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self.chroma_settings = chroma_settings
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self.allow_reset = allow_reset
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self.batch_size = batch_size
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super().__init__(collection_name=collection_name, dir=dir, host=host, port=port)
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