forked from Archives/langchain
[bugfix] Fix persisted chromadb vectorstore (#1444)
If a `persist_directory` param was set, chromadb would throw a warning that ""No embedding_function provided, using default embedding function: SentenceTransformerEmbeddingFunction". and would error with a `Illegal instruction: 4` error. This is on a MBP M1 13.2.1, python 3.9. I'm not entirely sure why that error happened, but when using `get_or_create_collection` instead of `list_collection` on our end, the error and warning goes away and chroma works as expected. Added bonus this is cleaner and likely more efficient. `list_collections` builds a new `Collection` instance for each collect, then `Chroma` would just use the `name` field to tell if the collection existed.
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@ -78,22 +78,12 @@ class Chroma(VectorStore):
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self._client = chromadb.Client(self._client_settings)
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self._client = chromadb.Client(self._client_settings)
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self._embedding_function = embedding_function
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self._embedding_function = embedding_function
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self._persist_directory = persist_directory
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self._persist_directory = persist_directory
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self._collection = self._client.get_or_create_collection(
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# Check if the collection exists, create it if not
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name=collection_name,
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if collection_name in [col.name for col in self._client.list_collections()]:
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embedding_function=self._embedding_function.embed_documents
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self._collection = self._client.get_collection(name=collection_name)
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if self._embedding_function is not None
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# TODO: Persist the user's embedding function
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else None,
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logger.warning(
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)
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f"Collection {collection_name} already exists,"
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" Do you have the right embedding function?"
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)
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else:
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self._collection = self._client.create_collection(
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name=collection_name,
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embedding_function=self._embedding_function.embed_documents
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if self._embedding_function is not None
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else None,
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)
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def add_texts(
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def add_texts(
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self,
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self,
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@ -224,9 +214,9 @@ class Chroma(VectorStore):
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Otherwise, the data will be ephemeral in-memory.
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Otherwise, the data will be ephemeral in-memory.
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Args:
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Args:
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texts (List[str]): List of texts to add to the collection.
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collection_name (str): Name of the collection to create.
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collection_name (str): Name of the collection to create.
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persist_directory (Optional[str]): Directory to persist the collection.
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persist_directory (Optional[str]): Directory to persist the collection.
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documents (List[Document]): List of documents to add.
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embedding (Optional[Embeddings]): Embedding function. Defaults to None.
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embedding (Optional[Embeddings]): Embedding function. Defaults to None.
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metadatas (Optional[List[dict]]): List of metadatas. Defaults to None.
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metadatas (Optional[List[dict]]): List of metadatas. Defaults to None.
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ids (Optional[List[str]]): List of document IDs. Defaults to None.
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ids (Optional[List[str]]): List of document IDs. Defaults to None.
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@ -263,6 +253,7 @@ class Chroma(VectorStore):
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Args:
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Args:
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collection_name (str): Name of the collection to create.
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collection_name (str): Name of the collection to create.
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persist_directory (Optional[str]): Directory to persist the collection.
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persist_directory (Optional[str]): Directory to persist the collection.
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ids (Optional[List[str]]): List of document IDs. Defaults to None.
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documents (List[Document]): List of documents to add to the vectorstore.
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documents (List[Document]): List of documents to add to the vectorstore.
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embedding (Optional[Embeddings]): Embedding function. Defaults to None.
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embedding (Optional[Embeddings]): Embedding function. Defaults to None.
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client_settings (Optional[chromadb.config.Settings]): Chroma client settings
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client_settings (Optional[chromadb.config.Settings]): Chroma client settings
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