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512b9b4f37
- Add `QAInterface` which should be implemented by all custom answer generator to be compatible with Quivr - Add `RAGInterface` which should be implemented by all RAG classes
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
from abc import ABC, abstractmethod
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from typing import List, Optional
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from langchain.callbacks.streaming_aiter import AsyncIteratorCallbackHandler
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from langchain.chains.combine_documents.base import BaseCombineDocumentsChain
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from langchain.chains.llm import LLMChain
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from langchain_core.retrievers import BaseRetriever
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class RAGInterface(ABC):
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@abstractmethod
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def get_doc_chain(
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self,
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streaming: bool,
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callbacks: Optional[List[AsyncIteratorCallbackHandler]] = None,
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) -> BaseCombineDocumentsChain:
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raise NotImplementedError(
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"get_doc_chain is an abstract method and must be implemented"
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)
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@abstractmethod
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def get_question_generation_llm(self) -> LLMChain:
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raise NotImplementedError(
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"get_question_generation_llm is an abstract method and must be implemented"
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)
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@abstractmethod
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def get_retriever(self) -> BaseRetriever:
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raise NotImplementedError(
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"get_retriever is an abstract method and must be implemented"
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)
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