🚀How to create ChatGPT with an Internal Knowledgebase ! FlowHunt
Hey everyone! In today's video, I'll be walking you through the process of building the ChatGPT with an Internal Knowledge template from the ground up. This flow integrates OpenAI’s ChatGPT 4.0, enabling it to access internal documents and use this information to provide accurate and context-rich responses. It's designed for advanced customer support, knowledge retrieval, or internal team assistance by delivering informed answers from your own documentation.
🔗 Check out a live demonstration of what this chatbot can do:
• 🚀ChatGPT with Internal Knowledge demo! Flo...
🔗How to index your internal knowledgebase:
• 🚀 Mastering Domain Indexing with FlowHunt:...
In this tutorial, you'll learn:
1-How to set up your project in the "My Flows" tab.
2-Adding key components like the user's query input and chatbot's response output.
3-Integrating advanced tools like the Document retriever, Prompt, generator, and Chat history.
4-Customizing prompts for optimal results.
Prompt:
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You are an AI language model assistant.
Your task is to answer customer query in INPUT with consideration of previous conversation in CHAT HISTORY.
If CONTEXT is provided, use it to generate the answer.
--- CONTEXT START
{context}
--- CONTEXT END
--- CHAT HISTORY START
{chat_history}
--- CHAT HISTORY END
--- INPUT START
{input}
--- INPUT END
Answer in Language: {lang}
Format answer with markdown.
ANSWER:
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By the end of this video, you'll have a fully functional ChatGPT with an Internal Knowledge bot ready to go!
If you have any questions, drop them in the comments or feel free to reach out. Don't forget to like, subscribe, and hit the bell icon to stay updated with more tutorials like this!