Submitted by: Kevin,Danyaal,Manal,Affan
AI-Chat Support is an AI-powered customer support chatbot using Next.js and the OpenAI API.
Time spent: X hours spent in total
The following required functionality is completed:
- Level 1: Create a basic chatbot with hard coded responses
- Level 2: Respond to the user intelligently using any Gen-AI model
- Level 3: Deploy your web-app to AWS EC2 Servers
- Level 3.5: Respond to the user with LLMs through the AWS Bedrock API
- Level 4: Implement RAG so the chatbot responds based on a given knowledge base
- Level 4.5: Create an LLM orchestration pattern with a router and task specific models
The following optional features are implemented:
- Bonus: Add multi-language support to cater to a diverse customer base
- Bonus: Add user authentication to personalize the chat experience
- Bonus: Implement a feedback mechanism for users to rate the chatbot's responses
Here's a walkthrough of implemented user stories:
GIF created with ...
- Bill Zhang's step by step code walkthrough: https://medium.com/@billzhangsc/building-an-ai-powered-support-assistant-with-next-js-and-openai-3c2c8e18cd4c
- Bill zhang's original video walkthrough: https://www.loom.com/share/03b87bb24f9f462d8353807211f7c4a1
- RAG Tutorial with OpenAI, LangChain, & Pinecone: https://www.loom.com/share/75af4269ab66450e943160c199895aa7
- Free API to access the LLama 3.1 LLM: https://openrouter.ai/models/meta-llama/llama-3.1-8b-instruct:free
- ChatGPT API Setup in Node.js: https://www.youtube.com/watch?v=emS9QL5EmXk&ab_channel=MervinPraison
- How to Deploy a Node.js App with AWS EC2: https://www.youtube.com/watch?v=nQdyiK7-VlQ&ab_channel=SamMeech-Ward
- Amazon Bedrock API Tutoral: https://www.youtube.com/watch?v=nSQrY-uPWLY&ab_channel=AWSDevelopers
- LangChan (OpenAI) Vector Embeddings for beginners: https://www.youtube.com/watch?v=xdr5ByCpnd4&ab_channel=Ryan%26MattDataScience
- Intro to RAG for AI (Retrieval Augmented Generation): https://www.youtube.com/watch?v=Y08Nn23o_mY&ab_channel=MatthewBerman
- How to Improve LLM with RAG: https://www.youtube.com/watch?v=Ylz779Op9Pw&ab_channel=ShawTalebi
- Build and deploy a RAG app with Pinecone: https://www.youtube.com/watch?v=EhlPDL4QrWY&ab_channel=LangChain
Describe any challenges encountered while building the app.
Copyright [2024] [Kevin]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
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