AI-powered Knowledge Base

Short explanation

Even the best AI can achieve little if it does not have access to valuable data.

Data and knowledge are among the most valuable assets of any organization today. Without a structured approach to recording and maintaining organizational knowledge, companies may be overlooking significant untapped potential.

What is Knowledge Base?

Knowledge base is a structured document management system. You can think of it as your
in-company Wikipedia, supported by AI.

CogniVis has a "Docs" module, which is used for creating a corporate knowledge base that the artificial intelligence then relies on.

The best way to imagine knowledge base and its structure is as a library. Think about classic, physical library, with wooden shelves and paper books.

CogniVis Docs is a digital representation of such a physical library and also has shelves, books, chapters and pages.

Each shelf corresponds to a specific segment of corporate knowledge, such as marketing, IT, design, and so on. This is, of course, just an example division, and each organization should adapt this structure to its own needs.

If you want to learn more about the details of how CogniVis Docs works, check out our guide AI Transformation: A guide to implementing AI in your business.

Usage example

If valuable company knowledge exists only in the heads of team members, there is no other way to share it than by simply exchanging it directly between individuals.

This is a very inefficient and unreliable method.

However, if everything is saved in a digital form, not only does each member have unlimited access to this knowledge, but it also becomes an excellent basis for artificial intelligence.

So, instead of writing to Mark Newman from the marketing department asking, "What is the procedure for creating social media campaigns in our company?" you would now ask AI, which, based on your corporate knowledge base, will provide you with precise answers in seconds.

This way, not only will you avoid bothering other team members, but you will also get faster and more precise answers yourself. Productivity will skyrocket.

AI-enhanced text editor

One of the most useful features of CogniVis Docs is the AI-enhanced text editor.

AI integrated into the text editor means you can use the power of AI directly when writing your text.

Let's assume you have a company procedure to write. Let it be a challenging, long, boring and at the same time very important procedure regarding the protection of personal data in your organization.

Sometimes this type of content is the hardest to start. So we can use AI and tell it to write an outline that will outline the framework of this text and provide us with a good starting point for further work.

If you want to learn more about AI-enhanced text editor read our articleAI-enhanced text editor for better content creation.

Talk to documents using AI Chat

Another powerful functionality in the CogniVis Docs knowledge base is AI Chat available on every document.

Thanks to it, we can talk to a given document as if we were talking to a human.

For example, we do not have to read every line of a long document to find out what we need to do in connection with it.

We can tell the artificial intelligence to write us action points or summarize the document to the most important issues.

Using AI Chat in CogniVis Docs, we can conduct any conversation as if we were talking to ChatGPT - only in this case the artificial intelligence will refer to the document we are currently viewing.

Capabilities

AI implemented into a company knowledge base can bring a lot of benefits. Let's have a look at a few examples.

In our sample knowledge base, we have a book titled "Team," where information about company personnel is stored. Each person has their page, describing their position, areas of responsibility, and other relevant data. For example, here we have the page of the CEO, John Smith.

Because the CogniVis AI chatbot is based on our knowledge base, I can ask it the following question:

I can also tell it to give me the phone number of the CEO.

Of course, if we asked such a question to some chatbot based on general knowledge (like ChatGPT), it wouldn't know the answer. Only connecting corporate data enables this type of interaction.

Example questions we can ask artificial intelligence

Who can help me prepare a marketing campaign?

When is Ewa on vacation?

Which product sold the best throughout the year?

What is the average customer satisfaction with the company's services in February 2024?

What is the status of the New Era of Digital Art project?

Which project is most delayed compared to the planned schedule?

Content Creation

Of course, we are not limited to asking single questions. For example, we can have the AI ​​refer to the previously mentioned delay in the Epsilon project and have it create a message to the team asking about the reasons for this delay.

Create a draft of a polite yet firm message to the Epsilon project team, asking why their project is significantly delayed.

We can, of course, have the message tailored:

Be a bit more assertive

Summary

These are just the tip of the iceberg of possibilities available with AI-powered knowledge base. To learn more read our tutorial: AI Transformation: A guide to implementing AI in your business .

Implement AI-powered knowledge base in your organization

Unlock the full potential of your organization's data with our AI-powered knowledge base solutions. Our team will help you create a structured, dynamic knowledge repository that leverages advanced AI to streamline information management and retrieval, tailored to your unique requirements.

Contact us to explore how our AI solutions can transform your data into actionable insights and drive efficiency across your organization.

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Michal Szymanski
About author
Michal Szymanski

Co Founder at MDBootstrap , CogniVis AI and AIFor.Biz / Listed in Forbes „30 under 30" / EOer / Open-source and AI enthusiast / Dancer, nerd & bookworm.

Author of hundreds of articles on AI, programming, UI/UX design, business, marketing and productivity. In the past, an educator working with troubled youth in orphanages and correctional facilities.