text: It is broken into two parts: installation and setup, and then references to specific Jina wrappers.Installation and Setupâ€‹Install the Python SDK with pip install jinaGet a Jina AI Cloud auth token from here and set it as an environment variable (JINA_AUTH_TOKEN)Wrappersâ€‹Embeddingsâ€‹There exists a Jina Embeddings wrapper, which you can access with from langchain.embeddings import JinaEmbeddingsFor a more detailed walkthrough of this, see this notebookDeploymentâ€‹Langchain-serve, powered by Jina, helps take LangChain apps to production with easy to use REST/WebSocket APIs and Slack bots. Usageâ€‹Install the package from PyPI. pip install langchain-serveWrap your LangChain app with the @serving decorator. # app.pyfrom lcserve import serving@servingdef ask(input: str) -> str:    from langchain import LLMChain, OpenAI    from langchain.agents import AgentExecutor, ZeroShotAgent        tools = [...] # list of tools    prompt = ZeroShotAgent.create_prompt(        tools, input_variables=["input", "agent_scratchpad"],    )    llm_chain = LLMChain(llm=OpenAI(temperature=0), prompt=prompt)    agent = ZeroShotAgent(        llm_chain=llm_chain, allowed_tools=[tool.name for tool in tools]    )    agent_executor = AgentExecutor.from_agent_and_tools(        agent=agent,         tools=tools,         verbose=True,    )    return agent_executor.run(input)Deploy on Jina AI Cloud with lc-serve