35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
import chromadb
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import os
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from chromadb.utils import embedding_functions
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from embedchain.vectordb.base_vector_db import BaseVectorDB
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class ChromaDB(BaseVectorDB):
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def __init__(self, db_dir=None, ef=None):
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if ef:
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self.ef = ef
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else:
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self.ef = embedding_functions.OpenAIEmbeddingFunction(
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api_key=os.getenv("OPENAI_API_KEY"),
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organization_id=os.getenv("OPENAI_ORGANIZATION"),
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model_name="text-embedding-ada-002"
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)
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if db_dir is None:
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db_dir = "db"
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self.client_settings = chromadb.config.Settings(
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chroma_db_impl="duckdb+parquet",
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persist_directory=db_dir,
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anonymized_telemetry=False
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)
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super().__init__()
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def _get_or_create_db(self):
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return chromadb.Client(self.client_settings)
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def _get_or_create_collection(self):
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return self.client.get_or_create_collection(
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'embedchain_store', embedding_function=self.ef,
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)
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