- LangChain, LangServe, FastAPI, and OpenAI API used for backend.
- React.js, HTML, and CSS used for frontend.
- Elasticsearch database as external vectorstore.
- Agent acts as Romeo from Romeo and Juliet.
- Deployed backend using Railway.app and frontend using GitHub Pages.
LLM Agent Tools:
- Retrieval tool: for LLM Agent to access all of Romeo's lines from the original script. Agent uses this tool to answer questions about Romeo.
- Web Search tool: Tavily Search API used to search information our LLM Agent does not know (including current events.)
- Weather tool: accessed through weather API, to find current weather conditions in a city.
- Math tool: used to answer math questions.
- YouTube search tool: used to find YouTube video URLs.
Preview: Watch demo
| Backend | Frontend |
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Retrieval tool:   |
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Weather tool:  |
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Web Search tool:   |
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Math tool:  |
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YouTube tool:  |
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