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Back to all articlesRevolutionise HR onboarding with RAG-based FAQ chatbots

Onboarding new employees can be a real headache for HR managers in large companies. But fear not, because we have the solution - RAG-based chatbots! These bots will automate the onboarding process and make your life so much easier. Intrigued? Let's dive in and find out how they work!

Problem

Picture this: you're an HR manager in a company with a thousand employees, and every month you're hiring a hundred new people. That's a lot of training and integration to handle! Here are some challenges you'll face:

Tons of documents

You've got company values, training articles, videos and job descriptions scattered everywhere. It's a nightmare to navigate through them all.

Time wasted searching

New employees spend way too much time searching for relevant information instead of actually getting to work.

Solution

RAG (Retrieval-Augmented Generation)-based clever chatbots can connect all your knowledge base documents, websites, and videos. They can be embedded on your website or mobile app, and even have voice search capabilities. Talk about convenience!

So, what are the advantages of using these chat-bots?

Faster onboarding

Get rid of long training periods. These bots will speed up the onboarding process and help new employees integrate into the company culture in no time.

Happier employees

When new hires feel supported and have easy access to information, they'll be more loyal and satisfied with their job.

Let's get into how these chat-bots work

The RAG architecture combines two approaches: retrieval and generation. Here's how it goes:

  1. User asks a question: The question goes into the system.

  2. Information retrieval: The system searches through a massive database of knowledge and documents to find the most relevant information.

  3. Generation: The found document, along with the user's question, goes into the Large Language Model (LLM), which generates the final answer. And all of this happens in just a couple of seconds!

RAG-based chatbot architecture

Our job as Conversational AI developers is to train the LLM model to give accurate and truthful answers, quickly find information in loaded documents, and understand industry-specific terms. It's all about prompt engineering and finding the perfect setup for your specific use case.

Now, let's talk about the advantages of using RAG technology: RAG-based chatbot advantages

The bottom line…

Today, the world has moved far beyond providing new employees with a list of documents or links to training videos. They only need to ask a question, for example, “How do I return a purchase?” for employees in retail, and a RAG-based bot will immediately provide step-by-step instructions in a convenient format.

Maybe it's time to improve the process of working with personnel in your company and take a closer look at similar solutions?

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