Hybrid Chatbots: How to Chat with Multiple Data Sources (Pinecone, ChatGPT & More) | Summary and Q&A

17.5K views
May 17, 2023
by
Liam Ottley
YouTube video player
Hybrid Chatbots: How to Chat with Multiple Data Sources (Pinecone, ChatGPT & More)

TL;DR

Learn how to build a hybrid custom mods chatbot that can answer user queries on specific knowledge bases and serve as a regular chatbot using AI technology.

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Key Insights

  • 👤 The chatbot demonstrates the ability to intelligently route user queries to relevant knowledge bases, enhancing its capabilities in specific domains.
  • 👨‍💼 By combining different data sources, the chatbot becomes a versatile tool for answering queries related to business, investing, entrepreneurship, and more.
  • 🖐️ The intent classifier plays a crucial role in classifying user inputs and directing them to the appropriate knowledge bases.
  • 👊 The chatbot can handle both specific queries related to custom knowledge bases and regular questions using the chat GPT API.
  • 👻 This technology offers potential applications in various industries, allowing businesses to provide tailored and efficient support to users.
  • 💁 Customizing the chatbot with relevant knowledge bases enables the retrieval of accurate and specific information.
  • 👤 The hybrid nature of the chatbot expands its functionality, making it adaptable to different user needs and preferences.

Transcript

in front of us this example of the four functions that the chatbot can do all from within the same UI so here we have a regular query being answered as if it's chat gbt here we have a business related question querying a homozy database here we have a stock related question querying a Warren Buffett knowledge base and finally we have a entrepreneur... Read More

Questions & Answers

Q: How does the chatbot route user queries to relevant databases?

The chatbot uses an intent classifier that analyzes user inputs and classifies them into categories such as business, investing, entrepreneurship, or other. Based on the category, the query is routed to the corresponding database or treated as a regular question.

Q: What are some examples of queries that can be answered by the chatbot?

The chatbot can answer queries like "How can I increase AOV from an e-commerce business?" (routed to the business knowledge base), "How do you evaluate a stock?" (routed to the investing knowledge base), and "How can I live a fulfilling life as an entrepreneur?" (routed to the entrepreneurship knowledge base).

Q: What happens if a query is not related to any specific knowledge base?

If a query does not match any of the available knowledge bases, it is classified as "other" and sent to the chat GPT API to be answered as a regular question.

Q: Can this chatbot be customized for different knowledge bases and categories?

Yes, the chatbot can be customized by connecting different data sources or knowledge bases to the app. The routing logic can be modified to match specific categories or requirements.

Summary & Key Takeaways

  • The video demonstrates the creation of a chatbot that can intelligently route queries to relevant databases based on the user's needs.

  • Multiple data sources, including custom knowledge bases on business, investing, and entrepreneurship, are connected to the chatbot.

  • The chatbot can answer queries related to specific knowledge bases or treat them as regular questions if they don't match any database.

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