Args:
    limit: Optional maximum number of collections to return
    offset: Optional number of collections to skip before returning results

Returns:
    List of collection names or ["__NO_COLLECTIONS_FOUND__"] if database is empty

Args:
    collection_name: Name of the collection to create
    embedding_function_name: Name of the embedding function to use. Options: 'default', 'cohere', 'openai', 'jina', 'voyageai', 'ollama', 'roboflow'
    metadata: Optional metadata dict to add to the collection

Args:
    collection_name: Name of the collection to peek into
    limit: Number of documents to peek at

Args:
    collection_name: Name of the collection to get info about

Args:
    collection_name: Name of the collection to count

Args:
    collection_name: Name of the collection to modify
    new_name: Optional new name for the collection
    new_metadata: Optional new metadata for the collection

Args:
    collection_name: Name of the collection to fork
    new_collection_name: Name of the new collection to create
    metadata: Optional metadata dict to add to the new collection

Args:
    collection_name: Name of the collection to delete

Args:
    collection_name: Name of the collection to add documents to
    documents: List of text documents to add
    ids: List of IDs for the documents (required)
    metadatas: Optional list of metadata dictionaries for each document

Args:
    collection_name: Name of the collection to query
    query_texts: List of query texts to search for
    n_results: Number of results to return per query
    where: Optional metadata filters using Chroma's query operators
           Examples:
           - Simple equality: {"metadata_field": "value"}
           - Comparison: {"metadata_field": {"$gt": 5}}
           - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}
           - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}
    where_document: Optional document content filters
           Examples:
           - Contains: {"$contains": "value"}
           - Not contains: {"$not_contains": "value"}
           - Regex: {"$regex": "[a-z]+"}
           - Not regex: {"$not_regex": "[a-z]+"}
           - Logical AND: {"$and": [{"$contains": "value1"}, {"$not_regex": "[a-z]+"}]}
           - Logical OR: {"$or": [{"$regex": "[a-z]+"}, {"$not_contains": "value2"}]}
    include: List of what to include in response. By default, this will include documents, metadatas, and distances.

Args:
    collection_name: Name of the collection to get documents from
    ids: Optional list of document IDs to retrieve
    where: Optional metadata filters using Chroma's query operators
           Examples:
           - Simple equality: {"metadata_field": "value"}
           - Comparison: {"metadata_field": {"$gt": 5}}
           - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]}
           - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]}
    where_document: Optional document content filters
           Examples:
           - Contains: {"$contains": "value"}
           - Not contains: {"$not_contains": "value"}
           - Regex: {"$regex": "[a-z]+"}
           - Not regex: {"$not_regex": "[a-z]+"}
           - Logical AND: {"$and": [{"$contains": "value1"}, {"$not_regex": "[a-z]+"}]}
           - Logical OR: {"$or": [{"$regex": "[a-z]+"}, {"$not_contains": "value2"}]}
    include: List of what to include in response. By default, this will include documents, and metadatas.
    limit: Optional maximum number of documents to return
    offset: Optional number of documents to skip before returning results

Returns:
    Dictionary containing the matching documents, their IDs, and requested includes

Args:
    collection_name: Name of the collection to update documents in
    ids: List of document IDs to update (required)
    embeddings: Optional list of new embeddings for the documents.
                Must match length of ids if provided.
    metadatas: Optional list of new metadata dictionaries for the documents.
               Must match length of ids if provided.
    documents: Optional list of new text documents.
               Must match length of ids if provided.

Returns:
    A confirmation message indicating the number of documents updated.

Raises:
    ValueError: If 'ids' is empty or if none of 'embeddings', 'metadatas',
                or 'documents' are provided, or if the length of provided
                update lists does not match the length of 'ids'.
    Exception: If the collection does not exist or if the update operation fails.

Args:
    collection_name: Name of the collection to delete documents from
    ids: List of document IDs to delete

Returns:
    A confirmation message indicating the number of documents deleted.

Raises:
    ValueError: If 'ids' is empty
    Exception: If the collection does not exist or if the delete operation fails.