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Workshop materials for SMU .Hack HEAP

License: MIT License

JavaScript 2.11% Python 53.92% TypeScript 39.80% CSS 2.40% HTML 1.77%

heap-ai-workshop's Introduction

HEAP-AI-Workshop

1st half of workshop [OpenAI API Integration to Frontend]

Frontend directory

Make sure you have nodejs v20.10.0 or higher and npm 10.2.3 or higher installed. Install dependencies with:

npm install

Once it's done start up a local server with:

npm run dev

To create a production build:

npm run build

2nd half of workshop [Building reliable Retrieval Augmented Generation(RAG) AI Architecture]

image

Make sure you have Python 3.10.9 or higher and pip 24.0 or higher installed. Install dependencies with:

pip install requirements.txt

Configuring environment.

  1. Create free-tier accounts from Firecrawl & Tavily AI
  2. Create .env under Agentic-RAG folder and populate folder in this manner:
FIRECRAWL_API_KEY=XXX
TAVILY_API_KEY=XXX
  1. Download ollama and download llama3 model by running the following in command prompt:
ollama run llama3
~Should take about 30mins unless your laptop trash af 

Once it's done start up by running this command in the terminal:

python main.py

heap-ai-workshop's People

Contributors

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