37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
import logging
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import chromadb
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from chromadb.config import Settings
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from embedchain.vectordb.base_vector_db import BaseVectorDB
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class ChromaDB(BaseVectorDB):
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"""Vector database using ChromaDB."""
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def __init__(self, db_dir=None, embedding_fn=None, host=None, port=None):
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self.embedding_fn = embedding_fn
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if not hasattr(embedding_fn, "__call__"):
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raise ValueError("Embedding function is not a function")
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if host and port:
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logging.info(f"Connecting to ChromaDB server: {host}:{port}")
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self.settings = Settings(chroma_server_host=host, chroma_server_http_port=port)
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else:
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if db_dir is None:
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db_dir = "db"
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self.settings = Settings(persist_directory=db_dir, anonymized_telemetry=False, allow_reset=True)
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super().__init__()
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def _get_or_create_db(self):
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"""Get or create the database."""
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return chromadb.Client(self.settings)
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def _get_or_create_collection(self):
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"""Get or create the collection."""
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return self.client.get_or_create_collection(
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"embedchain_store",
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embedding_function=self.embedding_fn,
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)
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