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