Working through a RAG example with LangChain
LangChain provides functionality to carry out all of the steps we’ve outlined. So, let’s look at a RAG example while looking at how we achieve the steps with LangChain in more detail.
For our use case, we’re going to look at using unstructured website data as the basis for our RAG system. This is a common example of a RAG application as most organizations have websites and unstructured data that they want to use. Imagine that your organization has asked you to create an LLM-powered chatbot that can answer questions about the content on your organization’s website.
In our scenario, we’ll explore leveraging unstructured website data as the foundation for our RAG system. Utilizing unstructured data from websites is a prevalent approach for RAG applications given that most organizations possess websites filled with data they wish to use. Imagine being tasked by your organization to develop a chatbot capable...
