feat: Azure implementation + embeddings refactoring

Author: PeriniM

examples/openai/smart_scraper_openai.py

@@ -21,7 +21,7 @@
         "api_key": openai_key,
         "model": "gpt-3.5-turbo",
     },
-    "verbose":False,
+    "verbose": True,
 }
 
 # ************************************************

scrapegraphai/nodes/rag_node.py

@@ -6,14 +6,9 @@
 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