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Vikas Singh
Vikas Singh

Posted on • Originally published at linkedin.com

AI Chatbot Architecture

As part of our journey to understand the impact of Generative AI, we’re excited to share our AI-powered chatbot's architecture.

𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗬𝗼𝘂:
How do you think Generative AI can transform customer interactions in your industry?

𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄:

𝗨𝘀𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿
• Multichannel Access: Users can ask questions via website chat, Messenger, or email.

𝗔𝗜 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿
• Text Embedding: Embeds user queries for efficient processing.
• Vector Database Search: Finds relevant information and context.
• Contextual Response Generation: Generates responses using AI models.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆
Real-Time Interaction: Sends responses back to the user through the same channel.

𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀
• Performance Tracking: Ensures optimal functioning.
• Analytics Dashboard: Provides insights to refine the chatbot.

𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐 𝘳𝘦𝘥𝘦𝘧𝘪𝘯𝘦𝘴 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳 𝘴𝘶𝘱𝘱𝘰𝘳𝘵 𝘸𝘪𝘵𝘩 𝘧𝘢𝘴𝘵𝘦𝘳, 𝘮𝘰𝘳𝘦 𝘢𝘤𝘤𝘶𝘳𝘢𝘵𝘦, 𝘢𝘯𝘥 𝘱𝘦𝘳𝘴𝘰𝘯𝘢𝘭𝘪𝘻𝘦𝘥 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘦𝘴. 𝘛𝘩𝘪𝘴 𝘢𝘳𝘤𝘩𝘪𝘵𝘦𝘤𝘵𝘶𝘳𝘦 𝘦𝘯𝘢𝘣𝘭𝘦𝘴 𝘰𝘶𝘳 𝘤𝘩𝘢𝘵𝘣𝘰𝘵 𝘵𝘰 𝘶𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥 𝘢𝘯𝘥 𝘦𝘯𝘨𝘢𝘨𝘦 𝘶𝘴𝘦𝘳𝘴 𝘮𝘦𝘢𝘯𝘪𝘯𝘨𝘧𝘶𝘭𝘭𝘺.

We’d love to hear your thoughts on the transformative potential of Generative AI in customer interactions. Share your insights and let’s innovate together!

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