In this tutorial, we'll create LLama-Researcher using LlamaIndex workflows, inspired by GPT-Researcher.
Credit to rsrohan99 for the original implementation.
Stack Used:
- LlamaIndex workflows for orchestration
- Tavily API as the search engine api
- Arize Phoenix for tracing and evaluation
- Clone the repo
git clone https://github.com/Jgilhuly/Llama-Researcher
cd Llama-Researcher
- Install dependencies
pip install -r requirements.txt
- Create
.env
file and addOPENAI_API_KEY
,TAVILY_API_KEY
andPHOENIX_API_KEY
cp .env.example .env
- Run the workflow with the topic to research
python run.py "topic to research"