What is an internal knowledge base?

An internal knowledge base is a centralized repository of information used within an organization to help employees in their respective tasks. It contains resources and information relevant to the various departments, operations, or projects in the organization.

Why build an internal knowledge base?

If you run a data-rich company, having an internal knowledge base can be critical to scaling operations and improving the efficiency of each employee.

There are a number of different ways to build an internal knowledge base. One option is to use a commercial knowledge base software application. However, these applications can be expensive and may not be able to meet the specific needs of your company.

Another option is to build your own knowledge base using an application development platform. This approach gives you more flexibility and control over the design and functionality of your knowledge base.

If you are considering building your own knowledge base, there are a few things you need to keep in mind:

  1. Define your requirements. What do you want your knowledge base to do? What information do you need to store? Who will be using the knowledge base? Once you have a clear understanding of your requirements, you can start to design your knowledge base.
  2. Choose the right application development platform There are a number of different application development platforms available. Some of the most popular platforms include:
  • Acho
  • Salesforce
  • MS PowerApps
  • AppSheet
  • OutSystems
  • Mendix

When choosing an application development platform, you need to consider your specific needs and requirements. For example, if you need a platform that can be used to build mobile apps, you will need to choose a platform that supports mobile development.

  1. Design your knowledge base: Once you have chosen an application development platform, you can start to design your knowledge base. This includes defining the structure of your knowledge base, the types of content you will store, and the user interface.
  2. Build your knowledge base: Once you have designed your knowledge base, you can start to build it. This involves creating the content for your knowledge base and adding it to the platform. You will also need to configure the user interface and add any necessary features.
  3. Deploy and maintain your knowledge base: Once your knowledge base is built, you need to deploy it so that it can be accessed by users. You will also need to maintain your knowledge base by adding new content, updating existing content, and fixing any bugs.

Building an internal knowledge base is a complex process, but it can be a valuable asset for your company. By following the steps outlined in this blog post, you can build a knowledge base that meets the needs of your employees and helps your company achieve its goals.

Building an internal knowledge base with AI

Here is a tutorial about how to build an internal knowledge base like this demo app with Acho App Builder.

1. Connect your data to Acho:

Connect data: The first step in building an internal knowledge base with Acho is to connect your organization's data to Acho’s platform. Acho offers seamless integration with various data sources, including APIs, flat files, and databases. By connecting your data, you can bring together information from different sources, projects, and operations into a centralized repository.

Furthermore, you can enable schedulers on your data repositories, which allows you to set up automated data updates at specified intervals, ensuring that your knowledge base remains up-to-date with the most current information.

Explore and transform the data: Once your data is connected, use Acho's Project or Data Node to explore and transform the data. Perform data exploration and analysis to gain valuable insights and identify patterns that can inform the organization's knowledge base. You can also apply data transformation operations to clean, filter, and structure the data in a way that aligns with the knowledge base's abstract table schema.

2. Building a customized chatbot

Abstract table schema: It is necessary for the AI model to know the columns' names, data types, primary keys, and understand their purposes within your tables, streamlining data retrieval and enhancing the chatbot's performance.

Edit proper prompt: To optimize the chatbot's responses and ensure accurate and relevant information is provided to users, it's crucial to edit proper prompts. Fine-tune the prompts to align with the chatbot's purpose and the knowledge base's content. Acho Software allows you to continuously improve the chatbot's responses by learning from user interactions.

Deploy script on Acho using Python node: You can deploy the chatbot script to the platform seamlessly with Acho's Python node. Python node allows you to accept input from the app, execute Python scripts, integrate ChatGPT API, and deliver conversation results back to the app’s elements.

3. Build the application with Acho low-code app builder

Build interface: Create an app with Acho low-code app builder, which empowers you to create an intuitive and user-friendly interface for your internal knowledge base and chatbot. Utilize the drag-and-drop interface to design an appealing layout that aligns with your organization's branding.

Add interaction to integrate the chatbot with the knowledge base: The whole action flow is, User input ➔ Python script ➔ Python output ➔ Query goes to data node ➔ Query output ➔ Frontend interface.

Discover the potential of our demo app, which is also provided as a template in our app builder. Tailor the styling to perfectly align with your company's identity, seamlessly connect your own data, or even integrate your unique AI model!

If you’re interested in building your own internal knowledge database, we are happy to help you learn more about it. Contact us in the chat box on the bottom right corner of this page if you have any questions!