https://github.com/alecbytes/rag-chatbot-alec
RAG Chatbot - Answers Questions About Alec.
https://github.com/alecbytes/rag-chatbot-alec
nextjs openai-api rag-chatbot vercel-ai-sdk
Last synced: about 2 months ago
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RAG Chatbot - Answers Questions About Alec.
- Host: GitHub
- URL: https://github.com/alecbytes/rag-chatbot-alec
- Owner: AlecBytes
- Created: 2025-03-06T15:18:45.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-06T16:03:02.000Z (over 1 year ago)
- Last Synced: 2025-03-06T16:41:33.217Z (over 1 year ago)
- Topics: nextjs, openai-api, rag-chatbot, vercel-ai-sdk
- Language: TypeScript
- Homepage: https://alecbytes.com/chatbot
- Size: 658 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 🤖 **RAG Chatbot - Answers Questions About Alec**
🚀 **Live Demo:** [AlecBytes/chatbot](https://alecbytes.com/chatbot)
📝 Currently building a chatbot that uses retrieval-augmented generation (RAG) to reason and respond with information outside of the model's training data. I kicked things off with a [Vercel AI SDK template](https://vercel.com/templates/next.js/ai-sdk-rag), tweaked the model prompt, and chunked & embedded my resume info in a vector database. After testing prompt responses on a working prototype, I'm now fine-tuning and adding more information chunks. Next up, I'll re-embed the updated chunks and see how they boost the chatbot’s responses.
If you're into AI or chatbots, let's connect and share insights!
## ⭐ **Please Star This Project** ⭐
If you find this project useful, consider **starring** ⭐ the repo! Your support helps others discover it and motivates further development. Thank you! 🙏
## 💡 **How it works**
### Store the Context the Model does not have
### Retrieve stored context similar to query, combine into new query
## ✨ **Features**
- Information retrieval and addition through tool calls using the [`streamText`](https://sdk.vercel.ai/docs/reference/ai-sdk-core/stream-text) function
- Real-time streaming of model responses to the frontend using the [`useChat`](https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-chat) hook
- Vector embedding storage with [DrizzleORM](https://orm.drizzle.team/) and [PostgreSQL](https://www.postgresql.org/)
- Animated UI with [Framer Motion](https://www.framer.com/motion/)
## 📷 **Images of the App**
## 💻 **Tech Stack**
### 🎨 Frontend
- [Next.js](https://nextjs.org/) - React framework
- [Tailwind CSS](https://tailwindcss.com/) - CSS framework
- [Radix UI](https://www.radix-ui.com/) - Unstyled, accessible components
- [Framer Motion](https://www.framer.com/motion/) - Animation library
### 🤖 AI/ML
- [Vercel AI SDK](https://sdk.vercel.ai/) - Core AI functionality
- [`useChat`](https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-chat) hook for frontend chat interface
- [`streamText`](https://sdk.vercel.ai/docs/reference/ai-sdk-core/stream-text) function for streaming responses
- [OpenAI API](https://openai.com/) (GPT-4o model)
### 💾 Database
- [PostgreSQL](https://www.postgresql.org/) - Vector database storage
- [DrizzleORM](https://orm.drizzle.team/) - Database ORM
### 🌍 Deployment
- [Vercel](https://vercel.com/) - Hosting platform
- [Supabase](https://supabase.com/) - PostgreSQL vector database provider
## 📜 **License**
This project is **not open-source**, and no license is granted for reuse, modification, or distribution.
If you are looking to build a similar chatbot, please refer to the official [Vercel Guide](https://sdk.vercel.ai/docs/guides/rag-chatbot) and its starter code. The modifications in this repository are tailored to my specific needs, and you should create your own custom implementation.
## 🤝 **Credits**
The starter code and images used in this project are sourced from [Vercel's Guide](https://sdk.vercel.ai/docs/guides/rag-chatbot).