Upgrade the chromadb version to 0.4.8 and open its settings configuration. (#517)
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@@ -24,6 +24,7 @@ class BaseAppConfig(BaseConfig, JSONSerializable):
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db_type: VectorDatabases = None,
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vector_dim: VectorDimensions = None,
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es_config: ElasticsearchDBConfig = None,
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chroma_settings: dict = {},
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):
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"""
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:param log_level: Optional. (String) Debug level
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@@ -38,6 +39,7 @@ class BaseAppConfig(BaseConfig, JSONSerializable):
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:param db_type: Optional. type of Vector database to use
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:param vector_dim: Vector dimension generated by embedding fn
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:param es_config: Optional. elasticsearch database config to be used for connection
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:param chroma_settings: Optional. Chroma settings for connection.
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"""
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self._setup_logging(log_level)
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self.collection_name = collection_name if collection_name else "embedchain_store"
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@@ -50,13 +52,14 @@ class BaseAppConfig(BaseConfig, JSONSerializable):
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vector_dim=vector_dim,
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collection_name=self.collection_name,
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es_config=es_config,
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chroma_settings=chroma_settings,
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)
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self.id = id
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self.collect_metrics = True if (collect_metrics is True or collect_metrics is None) else False
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return
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@staticmethod
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def get_db(db, embedding_fn, host, port, db_type, vector_dim, collection_name, es_config):
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def get_db(db, embedding_fn, host, port, db_type, vector_dim, collection_name, es_config, chroma_settings):
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"""
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Get db based on db_type, db with default database (`ChromaDb`)
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:param Optional. (Vector) database to use for embeddings.
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@@ -85,7 +88,7 @@ class BaseAppConfig(BaseConfig, JSONSerializable):
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from embedchain.vectordb.chroma_db import ChromaDB
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return ChromaDB(embedding_fn=embedding_fn, host=host, port=port)
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return ChromaDB(embedding_fn=embedding_fn, host=host, port=port, chroma_settings=chroma_settings)
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def _setup_logging(self, debug_level):
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level = logging.WARNING # Default level
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