Enterprise chatbots, powered by generative AI, are emerging as key applications to enhance employee productivity. Retrieval Augmented Generation (RAG), Large Language Models (LLMs), and orchestration frameworks like Langchain and Llamaindex are crucial for building these chatbots. However, creating effective enterprise chatbots is challenging and requires meticulous RAG pipeline engineering. This includes fine-tuning embeddings and LLMs, extracting documents from vector databases, rephrasing queries, reranking results, designing prompts, honoring document access controls, providing concise responses, including references, safeguarding personal information, and building orchestration agents. We present a framework for building RAG-based chatbots based on our experience with three NVIDIA chatbots: for IT/HR benefits, financial earnings, and general content. Our contributions are three-fold: introducing the FACTS framework (Freshness, Architectures, Cost, Testing, Security), presenting fifteen RAG pipeline control points, and providing empirical results on accuracy-latency tradeoffs between large and small LLMs. To the best of our knowledge, this is the first paper of its kind that provides a holistic view of the factors as well as solutions for building secure enterprise-grade chatbots."

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Chatbot space is diverse and there is a huge list of chatbots that are being used in various areas. Recently, Enterprise chatbots are picking up popularity and are the newest AI chatbot that is receiving wide attention. Till now, you might have heard about AI chatbots for customer service that responds to users' queries and routes requests to agents. Think the same but replace the customers with employees of an organization and you basically would get an enterprise chatbot. There are a lot of advantages for enterprise chatbots, but there are many challenges too.

Even though the history of chatbots goes back into the 1960s, chatbots are one of the latest developments in technology that all businesses should consider using. When properly implemented, chatbots can help to improve employee engagement, as well as customer experience. Yet, many businesses are still unable to fully reap the benefits of this technology, partly due to a number of common chatbot myths. Here we debunk six popular chatbot myths. One of the biggest misconceptions is the notion that chatbots are only applicable to specific industries, most commonly, that they only deliver results in customer service sectors.

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This is because of the fact that the customers can place their queries without any timing or geographical constraints. Grievance solving is one of the significant parts of web-based customer interactions. If you are facing difficulties in meeting the expected response rates of the customers or the increasing quantity of grievances is bothering your customer service team, this article will provide hands-on insight in Chatbot integration to address the issue. Also, buckle up to understand the financial incentives of doing so. Let us start with the basics.

Enterprise Chatbots or Virtual Assistants are computer programs that mimic human conversations with real people by using Artificial Intelligence(AI) and Natural Language Processing(NLP). Enterprises are spending more on Chatbot Development as they increase productivity, save time, improve customer engagement and enhance the customer service experience thereby improving ROI. According to a report by Gartner, 50% of enterprises will be spending more on chatbots than on mobile apps by 2021. Chatbots are not new as they have been around for more than fifty years now. The first ever chatbot, named Eliza, was programmed at MIT in 1966.

In a fast-paced world dominated by convenience, messaging is the most efficient and preferred way to communicate. Companies know that instant messaging for business helps to engage with customers and drive sales. Once seen as a fun addition to a website, enterprise chatbots are now getting a well-deserved promotion. They've moved into an essential customer service role for companies that want to stay competitive. It wasn't so long ago that companies were trying their best to scale with IVR (Interactive Voice Response) systems.

The average person spends around 3 hours a day on social media. Now, the impact of social media can be seen both on the personal life and work processes. The HBR study found that over the past two decades, the time spent by employees in collaborative activities has raised at least by 50%. Inner-communication is now becoming a highly important thing in enterprise companies. How much time do you think an average enterprise worker spends on emails, calls, and meetings?

Chatbots are noticeably one of the most popular AI technologies across the world. From simplifying business workflows, enhancing employee and customer experience to reducing costs, chatbots provide numerous benefits for organizations of all sizes. The use cases of chatbots are diverse and vary across departments and industries. Most enterprise leaders are yet to understand and explore the full potential of chatbots.