code: import os
  import langchain
  
  from langchain.embeddings.openai import OpenAIEmbeddings
  from langchain.vectorstores import Chroma
  from langchain.text_splitter import CharacterTextSplitter
  from langchain import OpenAI, VectorDBQA
  from langchain.document_loaders import TextLoader
  from langchain.document_loaders import WebBaseLoader
  
  from langchain.agents.agent_toolkits import (
      create_vectorstore_agent,
      VectorStoreToolkit,
      VectorStoreInfo,
  )
  
  
  os.environ['serpapi_api_key']="YOUR_serpapi_api_key"
  os.environ['OPENAI_API_KEY']="YOUR_OPENAI_API_KEY"
  
  llm = OpenAI(temperature=0)
  
  
  loader = TextLoader('the_needed_text.txt')
  documents = loader.load()
  text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
  texts = text_splitter.split_documents(documents)
  
  embeddings = OpenAIEmbeddings()
  text_store = Chroma.from_documents(texts, embeddings, collection_name="the_needed_text")
  
  loader = WebBaseLoader("https://beta.ruff.rs/docs/faq/")
  docs = loader.load()
  ruff_texts = text_splitter.split_documents(docs)
  ruff_store = Chroma.from_documents(ruff_texts, embeddings, collection_name="ruff")
  
  vectorstore_info = VectorStoreInfo(
      name="the_needed_text_in_detail",
      description="the most recent data of bill gates",
      vectorstore=text_store
  )
  
  toolkit = VectorStoreToolkit(vectorstore_info=vectorstore_info)
  
  
  agent_executor = create_vectorstore_agent(
      llm=llm,
      toolkit=toolkit,
      verbose=True
  )
  
  agent_executor.run("who is bill gates?, what is his age now? and how many assets he has now? ")
apis: langchain.document_loaders.WebBaseLoader langchain.text_splitter.CharacterTextSplitter langchain.vectorstores.Chroma.from_documents langchain.agents.agent_toolkits.create_vectorstore_agent langchain.agents.agent_toolkits.VectorStoreToolkit langchain.document_loaders.TextLoader langchain.agents.agent_toolkits.VectorStoreInfo langchain.embeddings.openai.OpenAIEmbeddings langchain.OpenAI
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