Update deprecated LangChain imports to modern package structure

Migrate imports from monolithic langchain package to the split packages:
- langchain.prompts -> langchain_core.prompts
- langchain.docstore.document -> langchain_core.documents
- langchain.vectorstores -> langchain_community.vectorstores
- langchain.embeddings -> langchain_openai
- langchain.schema -> langchain_core.messages
- langchain.text_splitter -> langchain_text_splitters
- langchain.callbacks -> langchain_community.callbacks
- langchain.tools -> langchain_community.tools
Also fix deprecated model name gpt-4-turbo-preview -> gpt-4-turbo

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: 2 people

all_rag_techniques_runnable_scripts/context_enrichment_window_around_chunk.py

@@ -1,7 +1,7 @@
 import os
 import sys
 from dotenv import load_dotenv
-from langchain.docstore.document import Document
+from langchain_core.documents import Document
 from helper_functions import *
 from evaluation.evalute_rag import *
 from typing import List

all_rag_techniques_runnable_scripts/crag.py

@@ -2,10 +2,10 @@
 import sys
 import argparse
 from dotenv import load_dotenv
-from langchain.prompts import PromptTemplate
+from langchain_core.prompts import PromptTemplate
 from langchain_openai import ChatOpenAI
 from langchain_core.pydantic_v1 import BaseModel, Field
-from langchain.tools import DuckDuckGoSearchResults
+from langchain_community.tools import DuckDuckGoSearchResults
 from helper_functions import encode_pdf
 import json
 

all_rag_techniques_runnable_scripts/document_augmentation.py

@@ -1,10 +1,10 @@
 import sys
 import os
 import re
-from langchain.docstore.document import Document
-from langchain.vectorstores import FAISS
+from langchain_core.documents import Document
+from langchain_community.vectorstores import FAISS
 from enum import Enum
-from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain_openai import OpenAIEmbeddings
 from langchain_openai import ChatOpenAI
 from typing import Any, Dict, List, Tuple
 from pydantic import BaseModel, Field

all_rag_techniques_runnable_scripts/fusion_retrieval.py

@@ -1,7 +1,7 @@
 import os
 import sys
 from dotenv import load_dotenv
-from langchain.docstore.document import Document
+from langchain_core.documents import Document
 from typing import List
 from rank_bm25 import BM25Okapi
 import numpy as np

all_rag_techniques_runnable_scripts/graph_rag.py

@@ -1,10 +1,10 @@
 import networkx as nx
-from langchain.vectorstores import FAISS
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain.prompts import PromptTemplate
+from langchain_community.vectorstores import FAISS
+from langchain_text_splitters import RecursiveCharacterTextSplitter
+from langchain_core.prompts import PromptTemplate
 from langchain.retrievers import ContextualCompressionRetriever
 from langchain.retrievers.document_compressors import LLMChainExtractor
-from langchain.callbacks import get_openai_callback
+from langchain_community.callbacks import get_openai_callback
 
 from sklearn.metrics.pairwise import cosine_similarity
 import matplotlib.pyplot as plt

all_rag_techniques_runnable_scripts/query_transformations.py

@@ -1,7 +1,7 @@
 import os
 from dotenv import load_dotenv
 from langchain_openai import ChatOpenAI
-from langchain.prompts import PromptTemplate
+from langchain_core.prompts import PromptTemplate
 
 # Load environment variables from a .env file
 load_dotenv()

all_rag_techniques_runnable_scripts/raptor.py

@@ -2,16 +2,16 @@
 import pandas as pd
 from typing import List, Dict, Any
 
-from langchain.chains.llm import LLMChain
+from langchain.chains import LLMChain
 from sklearn.mixture import GaussianMixture
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.vectorstores import FAISS
+from langchain_openai import OpenAIEmbeddings
+from langchain_community.vectorstores import FAISS
 from langchain_openai import ChatOpenAI
-from langchain.prompts import ChatPromptTemplate
+from langchain_core.prompts import ChatPromptTemplate
 from langchain.retrievers import ContextualCompressionRetriever
 from langchain.retrievers.document_compressors import LLMChainExtractor
-from langchain.schema import AIMessage
-from langchain.docstore.document import Document
+from langchain_core.messages import AIMessage
+from langchain_core.documents import Document
 import matplotlib.pyplot as plt
 import logging
 import os

all_rag_techniques_runnable_scripts/reranking.py

@@ -1,7 +1,7 @@
 import os
 import sys
 from dotenv import load_dotenv
-from langchain.docstore.document import Document
+from langchain_core.documents import Document
 from typing import List, Any
 from langchain_openai import ChatOpenAI
 from langchain.chains import RetrievalQA

all_rag_techniques_runnable_scripts/retrieval_with_feedback_loop.py

@@ -8,7 +8,7 @@
 from langchain_text_splitters import RecursiveCharacterTextSplitter
 from langchain_openai import ChatOpenAI
 from langchain.chains import RetrievalQA
-from langchain.prompts import PromptTemplate
+from langchain_core.prompts import PromptTemplate
 
 sys.path.append(os.path.abspath(os.path.join(os.getcwd(), '..')))  # Add the parent directory to the path
 from helper_functions import *

all_rag_techniques_runnable_scripts/self_rag.py

@@ -1,7 +1,7 @@
 import os
 import sys
 from dotenv import load_dotenv
-from langchain.prompts import PromptTemplate
+from langchain_core.prompts import PromptTemplate
 from langchain_openai import ChatOpenAI
 from langchain_core.pydantic_v1 import BaseModel, Field