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docs: remove unused imports in Conversational RAG tutorial (#25297)
Cleaned up the "Tying it Together" section of the Conversational RAG tutorial by removing unnecessary imports that were not used. This reduces confusion and makes the code more concise. Thank you for contributing to LangChain! PR title: docs: remove unused imports in Conversational RAG tutorial PR message: Description: Removed unnecessary imports from the "Tying it Together" section of the Conversational RAG tutorial. These imports were not used in the code and created confusion. The updated code is now more concise and easier to understand. Issue: N/A Dependencies: None LinkedIn handle: [Hassan Memon](https://www.linkedin.com/in/hassan-memon-a109b3257/) Add tests and docs: Hi [LangChain Team Member’s Name], I hope you're doing well! I’m thrilled to share that I recently made my second contribution to the LangChain project. If possible, could you give me a shoutout on LinkedIn? It would mean a lot to me and could help inspire others to contribute to the community as well. Here’s my LinkedIn profile: [Hassan Memon](https://www.linkedin.com/in/hassan-memon-a109b3257/). Thank you so much for your support and for creating such a great platform for learning and collaboration. I'm looking forward to contributing more in the future! Best regards, Hassan Memon
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"outputs": [],
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"source": [
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"import bs4\n",
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"from langchain.agents import AgentExecutor, create_tool_calling_agent\n",
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"from langchain.tools.retriever import create_retriever_tool\n",
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"from langchain_chroma import Chroma\n",
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"from langchain_community.chat_message_histories import ChatMessageHistory\n",
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"from langchain_community.document_loaders import WebBaseLoader\n",
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"from langchain_core.chat_history import BaseChatMessageHistory\n",
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"from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
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"from langchain_core.runnables.history import RunnableWithMessageHistory\n",
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"from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n",
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"from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
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"from langgraph.checkpoint.memory import MemorySaver\n",
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