Hello LLM with LangChain
A different approach to building LLMs’ less-vendor-specific strategy is to use LangChain.
An advanced LLM application framework that shields underlying APIs can orchestrate several models and offers a host of additional features, such as templates, plugins, and workflow chains that can be exposed as REST APIs. These features enhance and streamline the development of LLM applications, making LangChain extremely useful for more complex applications. There are other frameworks, such as Semantic Kernel from Microsoft, but at the time of writing, none have the versatility and popularity of LangChain. You can read more about LangChain at https://github.com/langchain-ai/langchain.
To use LangChain with OpenAI models, you must first install langchain and langchain-openai using pip:
pip install langchain langchain-openai --upgrade
Once that’s in place, save a Python file as LangChainBot.py and ensure it contains the following code. The main...
