Optional
memoryRun the core logic of this chain and add to output if desired.
Wraps _call and handles memory.
Optional
config: BaseCallbackConfig | CallbacksOptional
tags: string[]Invoke the chain with the provided input and returns the output.
Input values for the chain run.
Optional
config: BaseCallbackConfigOptional configuration for the Runnable.
Promise that resolves with the output of the chain run.
Return a json-like object representing this chain.
Static
deserializeLoad a chain from a json-like object describing it.
Static
fromLLMAndA static method that creates an instance of MultiRetrievalQAChain from a BaseLanguageModel and a set of retrievers. It takes in optional parameters for the retriever names, descriptions, prompts, defaults, and additional options. It is an alternative method to fromRetrievers and provides more flexibility in configuring the underlying chains.
A BaseLanguageModel instance.
Optional
defaults?: MultiRetrievalDefaultsOptional
multiOptional
retrievalQAChainOptional
retrieverA new instance of MultiRetrievalQAChain.
Static
fromOptional
retrieverPrompts: PromptTemplate<any, any>[]Optional
defaults: MultiRetrievalDefaultsOptional
options: Omit<MultiRouteChainInput, "defaultChain">Use fromRetrieversAndPrompts
instead
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A class that represents a multi-retrieval question answering chain in the LangChain framework. It extends the MultiRouteChain class and provides additional functionality specific to multi-retrieval QA chains.
Example