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feat: Azure implementation + embeddings refactoring

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This commit is contained in:
Marco Perini 2024-05-03 21:40:01 +02:00
parent 2abe05a0cf
commit aa9271e7bc
2 changed files with 1 additions and 6 deletions
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2
examples/openai/smart_scraper_openai.py
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@ -21,7 +21,7 @@ graph_config = {
"api_key": openai_key,
"model": "gpt-3.5-turbo",
},
"verbose":False,
"verbose": True,
}
# ************************************************

5
scrapegraphai/nodes/rag_node.py
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@ -6,14 +6,9 @@ from typing import List
from langchain.docstore.document import Document
from langchain.retrievers import ContextualCompressionRetriever
from langchain.retrievers.document_compressors import EmbeddingsFilter, DocumentCompressorPipeline
from langchain_aws.embeddings.bedrock import BedrockEmbeddings
from langchain_community.document_transformers import EmbeddingsRedundantFilter
from langchain_community.embeddings import HuggingFaceHubEmbeddings
from langchain_community.vectorstores import FAISS
from langchain_community.embeddings import OllamaEmbeddings
from langchain_openai import OpenAIEmbeddings, AzureOpenAIEmbeddings
from ..models import OpenAI, Ollama, AzureOpenAI, HuggingFace, Bedrock
from .base_node import BaseNode