Proper Doc
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README.md
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license: mit
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# Table of Contents
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* [run](#run)
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* [ChromaDBFlow](#ChromaDBFlow)
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* [ChromaDBFlow](#ChromaDBFlow.ChromaDBFlow)
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* [instantiate\_from\_config](#ChromaDBFlow.ChromaDBFlow.instantiate_from_config)
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* [get\_input\_keys](#ChromaDBFlow.ChromaDBFlow.get_input_keys)
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* [get\_output\_keys](#ChromaDBFlow.ChromaDBFlow.get_output_keys)
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* [run](#ChromaDBFlow.ChromaDBFlow.run)
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* [VectorStoreFlow](#VectorStoreFlow)
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* [VectorStoreFlow](#VectorStoreFlow.VectorStoreFlow)
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# run
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<a id="ChromaDBFlow"></a>
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# ChromaDBFlow
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default parameters of LiteLLMBackend (see aiflows.backends.LiteLLMBackend). Except for the following parameter whose default value is overwritten:
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- `api_infos` (List[Dict[str, Any]]): The list of api infos. Default: No default value, this parameter is required.
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- `model_name` (str): The name of the model. Default: "". In the current implementation, this parameter is not used.
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- `
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- Other parameters are inherited from the default configuration of AtomicFlow (see AtomicFlow)
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*Input Interface*:
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`ChromaDBFlow`: The instantiated flow.
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<a id="ChromaDBFlow.ChromaDBFlow.get_input_keys"></a>
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#### get\_input\_keys
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```python
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def get_input_keys() -> List[str]
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```
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This method returns the input keys of the flow.
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**Returns**:
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`List[str]`: The input keys of the flow.
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<a id="ChromaDBFlow.ChromaDBFlow.get_output_keys"></a>
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#### get\_output\_keys
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```python
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def get_output_keys() -> List[str]
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```
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This method returns the output keys of the flow.
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**Returns**:
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`List[str]`: The output keys of the flow.
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<a id="ChromaDBFlow.ChromaDBFlow.run"></a>
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#### run
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```python
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def run(
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```
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This method runs the flow. It runs the ChromaDBFlow. It either writes or reads memories from the database.
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**Arguments**:
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- `
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**Returns**:
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`Dict[str, Any]`: The output data of the flow.
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<a id="VectorStoreFlow"></a>
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- `description` (str): A description of the flow. This description is used to generate the help message of the flow.
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Default: "VectorStoreFlow"
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- `backend` (Dict[str, Any]): The configuration of the backend which is used to fetch api keys. Default: LiteLLMBackend with the
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default parameters of LiteLLMBackend (see
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- `api_infos` (List[Dict[str, Any]]): The list of api infos. Default: No default value, this parameter is required.
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- `model_name` (str): The name of the model. Default: "". In the current implementation, this parameter is not used.
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- `type` (str): The type of the vector store. It can be "chroma" or "faiss". Default: "chroma"
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#### run
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```python
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def run(
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```
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This method runs the flow. It either writes or reads memories from the database.
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**Arguments**:
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**Returns**:
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`Dict[str, Any]`: The output data of the flow.
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<a id="__init__"></a>
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---
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license: mit
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---
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# Table of Contents
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* [run](#run)
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* [ChromaDBFlow](#ChromaDBFlow)
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* [ChromaDBFlow](#ChromaDBFlow.ChromaDBFlow)
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* [instantiate\_from\_config](#ChromaDBFlow.ChromaDBFlow.instantiate_from_config)
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* [run](#ChromaDBFlow.ChromaDBFlow.run)
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* [VectorStoreFlow](#VectorStoreFlow)
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* [VectorStoreFlow](#VectorStoreFlow.VectorStoreFlow)
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# run
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A simple script to run a Flow that can be used for development and debugging.
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<a id="ChromaDBFlow"></a>
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# ChromaDBFlow
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default parameters of LiteLLMBackend (see aiflows.backends.LiteLLMBackend). Except for the following parameter whose default value is overwritten:
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- `api_infos` (List[Dict[str, Any]]): The list of api infos. Default: No default value, this parameter is required.
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- `model_name` (str): The name of the model. Default: "". In the current implementation, this parameter is not used.
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- `similarity_search_kwargs` (Dict[str, Any]): The parameters to pass to the similarity search method of the ChromaDB. Default:
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- `k` (int): The number of documents to retrieve. Default: 2
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- `filter` (str): The filter to apply to the documents. Default: null
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- `paths_to_data` (List[str]): The paths to the data to store in the database at instantiation. Default: []
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- `chunk_size` (int): The size of the chunks to split the documents into. Default: 700
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- `chunk_overlap` (int): The overlap between the chunks. Default: 0
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- `persist_directory` (str): The directory to persist the database. Default: "./demo_db_dir"
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- Other parameters are inherited from the default configuration of AtomicFlow (see AtomicFlow)
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*Input Interface*:
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`ChromaDBFlow`: The instantiated flow.
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<a id="ChromaDBFlow.ChromaDBFlow.run"></a>
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#### run
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```python
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def run(input_message: FlowMessage)
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```
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This method runs the flow. It runs the ChromaDBFlow. It either writes or reads memories from the database.
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**Arguments**:
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- `input_message` (`FlowMessage`): The input message of the flow.
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<a id="VectorStoreFlow"></a>
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- `description` (str): A description of the flow. This description is used to generate the help message of the flow.
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Default: "VectorStoreFlow"
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- `backend` (Dict[str, Any]): The configuration of the backend which is used to fetch api keys. Default: LiteLLMBackend with the
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default parameters of LiteLLMBackend (see flows.backends.LiteLLMBackend). Except for the following parameter whose default value is overwritten:
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- `api_infos` (List[Dict[str, Any]]): The list of api infos. Default: No default value, this parameter is required.
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- `model_name` (str): The name of the model. Default: "". In the current implementation, this parameter is not used.
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- `type` (str): The type of the vector store. It can be "chroma" or "faiss". Default: "chroma"
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#### run
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```python
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def run(input_message: FlowMessage)
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```
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This method runs the flow. It either writes or reads memories from the database.
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**Arguments**:
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- `input_message` (`FlowMessage`): The input data of the flow.
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<a id="__init__"></a>
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