Give OpenAI models internet access using LangChain🦜🔗

In this article, I will walk you through the basics of LangChain. I will explain what LangChain is and how to create a simple AI chatbot that can answer questions using OpenAI’s GPT language model and give GPT internet access using the SerpApi.

The next chapter of the AI revolution is here!

Drawing: MalachkovaK

To start off, I hear you wondering “What is this LangChain thing that I have been hearing so much about?”

LangChain is a framework designed to create software applications that utilise large language models (LLMs). This framework allows applications to not only depend on calling a language model through an API, but will also:

• Be data-aware: connect a language model to other sources of data.
• Be agentic: allow a language model to interact with its environment.

With LangChain, you can chain multiple models from different libraries, like OpenAI’s GPT-3 or Hugging Face’s transformers, and connect them to various external data sources. This allows you to create more complex AI applications that can access and utilise a wider range of data sources.

Integrating this new framework is the next big step in the AI revolution.

Use cases LangChain