Building an Own AI Chatbot: Integrating Custom Knowledge Bases

**Introduction: **
In today’s digital world, chatbots are becoming increasingly essential for businesses and websites to engage users effectively. This blog will walk you through the steps and features needed to create a powerful AI chatbot that leverages custom knowledge bases to deliver accurate and relevant responses.
**Creating a Chatbot on a Custom Knowledge Base: **
Creating a chatbot with a custom knowledge base allows users to train the bot with their own data, making it smarter and more efficient. This ensures the chatbot provides precise, relevant responses, enhancing user experience. Whether for answering FAQs or providing customer support, integrating custom knowledge bases can significantly improve the bot's reliability and flexibility. This approach is a game-changer for engaging with your audience effectively
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I will talk straight to the point about this blog
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Features of the Chatbot Platform

• BOTPRESS
• Users can configure the bot to pull answers from a specified website's knowledge bases.
• If the bot cannot find an answer, it can be set to query ChatGPT for assistances.
• The platform supports adding multimedia elements like audio and video to enhance user interactions.
  Signing Up and Creating a Bot
• The signup process is straightforward, with options to register using Google or GitHubs.
• Users can create multiple bots and utilize templates to streamline the bot creation processss.
  Use Case Example: News Website Integration
• An example is provided using NDTV.com, where users can train the bot to answer questions related to news articless.
• The bot can be configured to access specific web pages for information without sharing extensive data with ChatGPTss.
  Knowledge Base Management
• Users can create and manage knowledge bases by adding documents, web pages, or text filesss.
• The bot can respond to user queries based on the knowledge base, and if it lacks information, it can escalate to ChatGPTss.
  Enhancements and Customization
• The platform allows for the addition of various cards to manage user inputs and responses effectivelyss.
• Users can customize the bot's behavior, such as deciding when to consult ChatGPT based on the knowledge base's responsess.
  Publishing and Sharing the Bot
• Once the bot is created, users can publish and share it, making it accessible for interactions.
• The bot can be embedded into existing websites, allowing for seamless user engagements.
  Conclusion
• The video encourages viewers to explore the platform and create their own bots, highlighting the ease of use and potential applicationss.
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  Deploying a chatbot using Botpress involves several steps. Here's a straightforward guide:
  1. Develop Your Bot in Botpress Studio
• Download and install Botpress from its official site.
  **Build your chatbot by adding: **
• Flows
• Custom intents
• Actions
• Test the bot locally using the integrated emulator.
  2. Export Your Bot
• Once your bot is ready, export it as a .tgz package:
• Navigate to the Code Editor in Botpress.
• Use the Command Palette or a GUI option to export the chatbot as a deployable file.

3. Set Up a Server for Deployment

**Choose a deployment environment: **

• Cloud Platforms:
• AWS
• Microsoft Azure
• Google Cloud
  **Self-Hosting: **
  Host Botpress on a VPS (e.g., DigitalOcean, Linode) or your own machine.
  Install Botpress on the Server

1. SSH into Your Server
2. **Download the Botpress binary: **
   wget https://your-desired-botpress-version.tar.gz
3. **Extract the downloaded binary: **
   tar -xvzf botpress.tar.gz

4. Deploy the Bot

1. Place the exported .tgz file in the /data/bots/ directory on your server.

2. Start the Botpress server:
   /bp start

3. Access the Botpress interface by navigating to http://your-server-ip:3000 in your browser.
   4.Configure additional settings:

• API Keys
• Webhooks for integrations
• External database if needed.

5. Configure Channels

Connect your bot to desired platforms, such as:

• Web:
  Embed the chat widget on your website.

• Messenger/WhatsApp/Telegram:

  • Enable and configure these integrations from the Botpress admin panel.
  • Provide the required API tokens and configuration for the platform.

6. Test and Monitor

1. Test the bot in its production environment to ensure functionality.

2. Monitor performance:

   • Use Botpress logs to track issues and debug errors.
   • Utilize analytics to monitor user interactions and improve the chatbot's performance.

7. Maintenance

1. Regular Updates:

   • Keep Botpress updated to its latest version to ensure compatibility and access to new features.

2. Refinement:

   • Continuously improve your chatbot using feedback and analytics data.
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     Thanks for Reading ~ Ujjwal Paliwal
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