Supercharge your AI chatbot with the enterprise knowledge base

Globally, the market size of chatbots is around $5860.67 Million in the year 2023, and it is because AI chatbots have influenced the way organizations work. These automated conversational tools help generate business leads, provide 24/7 customer support with quick resolutions to issues, and reduce costs and human errors. AI chatbots are used in the healthcare industry to schedule appointments, collect and save patient information, and provide medical information. Similarly, AI chatbots are also used in banking, e-commerce retail, transportation, and logistics to optimize workloads. In this article, we will discuss the effective use of AI chatbots with advanced knowledgebase technology.

What is a knowledge-based AI chatbot?

In today’s fast-paced world, people do not want to spend time on manual research on Google and other online platforms. They want to get exact answers to their queries without waiting for a response from customer support. Businesses need a strong knowledge base to provide users instant and accurate results.

A knowledge base is an organized library of information, data, and facts. It contains domain-specific knowledge about a service, product, or topic fed into an AI chatbot. AI technology then interprets the feed information and generates a human-like tone to answer customer queries.

Knowledgebase AI chatbots vary from traditional chatbots in various ways. The primary difference is the way they get information to retrieve the data. Knowledgebase AI chatbots have a library of domain-specific knowledge to provide instant and to-the-point responses, while traditional chatbots use pre-defined rules and conversational flows to generate responses.

Knowledgebase AI chatbots rely on Natural Language Understanding (NLU), which makes them capable of understanding queries, intent, and context of the question and generating responses accordingly. At the same time, traditional knowledgebases do not integrate much with NLU and thus generate pre-defined responses.

Knowledgebase AI chatbots are suitable for technical support, medical advice, and legal consultation, providing personalized user experience. Contrarily, traditional chatbots have simple usage and provide only general solutions.

ChatInsight, a powerful knowledge-based AI chatbot

ChatInsight is a knowledge-based AI chatbot developed by SandStudio to help enterprises create well-known and intelligent chatbots to scale up internal and external support services. ChatInsight offers customization for businesses to enhance and manage the knowledge base for chatbot training. You can also enhance the bot’s performance by providing custom intent and utterance training according to the type of customers.

Unlike traditional chatbots, ChatInsight is powered by ChatGPT and can intelligently provide human-like responses. It has the power to understand more than 30 languages, no matter in which language the training data is.

Benefits of using ChatInsight

Here are some common benefits of using ChatInsight:

• Customized enterprise knowledge base

ChatInsight allows companies to create a customized knowledge base for a specific industry type, product type, and customer needs. Businesses can create a knowledge base related to the products they manufacture or sell. They can also add data for the services and general information to answer all customer queries accurately.

• Human-like Conversations

ChatInsight can understand user queries and intent from different perspectives and generate results in the same tone and context. It also provides a personalized user experience, just like human-like conversation.

• Context-awareness

ChatInsight is smart enough to understand the tone and context of the query. So, it uses the knowledge base and generates personalized responses to the queries, giving value and respect to the user.

• Multi-language support

ChatInsight is based on the Large Language Model (LLM). It can understand and respond in more than thirty languages, even if it is trained in only English language. It automatically interprets the language and generates a response in the customer’s required language.

• Guarantees Security

ChatInsight, equipped with Microsoft security protocols, ChatInsight ensures secure management and sharing of company knowledge and information that promises to safeguard the data in the knowledgebase and prevent data breaches, as the data might contain confidential information about the company and its products.

• Enhanced 24*7 Support

Manually managing customer support requires hectic management and is costly. ChatInsight allows businesses to handle customers’ inquiries anytime, anywhere to ensure twenty-four hours availability.

How to create a knowledge-based bot for your business?

Creating a chatbot using ChatInsight is quite simple and does not require training. But here, it is important to understand that your chatbot needs proper training, just like your employees require for effective working. Here are 4 simple steps explained in detail to enable you to create a chatbot for your business:

Step 1: Setting the Knowledgebase

You need to add precise content with specific guidelines in the knowledge so ChatInsight can better comprehend it. Create an article with a suitable title.

• Please write the title in the heading tag so the bot can understand where the article starts. Using different heading tags is also a positive approach.
• It is better to add instructions before the content so the bot can deliver better quality.
• Translate the terms properly because some shortcuts have different meanings in different industries. After writing the article, click the ‘Save and train’ button.

Step 2: Create your bot

• Write a suitable name for the bot to distinguish the bots by internal management.
• Write an appropriate title for the bot representing your company when a user connects for chat support.
• Set an example query by asking a FAQ related to the article.
• Choose the data source for the chatbot and then keep the settings as default for now. You can manage the settings later.

Step 3: Testing

Chatbot is a company representative, and all the answers provided to the users are considered authentic. So, it is better to test the accuracy of the output generated but the bot before the end users complain.

• Click on the bot name, and it will take you to the testing page.
• Ask any question or select the FAQ you have added while creating the bot.

Note: By default, the bot only answers queries from the data in the knowledgebase. If reference is lacking, your knowledge base needs to be appropriately equipped with the data. Edit the articles for more relevancy.

Step 4: Sharing

The last step involves releasing the chatbot to the target audience. ChatInsight offers three basic methods of sharing the chatbot, i.e., sharing the URL, embedding as iFrame on your website, or embedding as a Chat Widget. You can also release the bot on your company devices using AirDroid Business MDM.

Conclusion

It is highly recommended to transform your businesses with AI if you want to compete with your competitors because AI chatbots are currently the most effective tools to provide instant and to-the-point customer support services with minimum costs and labor. You need to use knowledgebase AI chatbots because they provide more personalized and relevant outputs, leading to customer satisfaction and retention. Do you need to improve your business support? Create your AI business assistant here to boost your business productivity and efficiency.