forked from Archives/langchain
remove unnecc variables (#113)
i dont think either of these variables are used?
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@ -18,7 +18,6 @@ class OptimizedPrompt(BaseModel):
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from langchain import DynamicPrompt
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vectorstore = FAISS.from_texts(examples, OpenAIEmbeddings()
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optimized_prompt = OptimizedPrompt(
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examples=["Say hi. Hi", "Say ho. Ho"],
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example_separator="\n\n",
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prefix="",
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suffix="\n\nSay {foo}"
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@ -29,9 +28,6 @@ class OptimizedPrompt(BaseModel):
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)
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"""
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examples: List[str]
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"""A list of the examples that the prompt template expects."""
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example_separator: str = "\n\n"
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"""Example separator, e.g. \n\n, for the dynamic prompt creation."""
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@ -162,7 +158,6 @@ class OptimizedPrompt(BaseModel):
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examples, embeddings, **vectorstore_cls_kwargs
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)
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return cls(
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examples=examples,
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suffix=suffix,
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input_variables=input_variables,
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example_separator=example_separator,
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@ -39,7 +39,6 @@ class ElasticVectorSearch(VectorStore):
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elastic_vector_search = ElasticVectorSearch(
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"http://localhost:9200",
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"embeddings",
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mapping,
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embedding_function
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)
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@ -49,7 +48,6 @@ class ElasticVectorSearch(VectorStore):
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self,
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elasticsearch_url: str,
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index_name: str,
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mapping: Dict,
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embedding_function: Callable,
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):
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"""Initialize with necessary components."""
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@ -69,7 +67,6 @@ class ElasticVectorSearch(VectorStore):
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"Your elasticsearch client string is misformatted. " f"Got error: {e} "
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)
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self.client = es_client
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self.mapping = mapping
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def similarity_search(self, query: str, k: int = 4) -> List[Document]:
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"""Return docs most similar to query.
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@ -155,4 +152,4 @@ class ElasticVectorSearch(VectorStore):
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requests.append(request)
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bulk(client, requests)
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client.indices.refresh(index=index_name)
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return cls(elasticsearch_url, index_name, mapping, embedding.embed_query)
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return cls(elasticsearch_url, index_name, embedding.embed_query)
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