Simple LLM Search (in 200 lines)

A simplest conversation-based search demo based on Lepton AI's work.

Supported LLM Providers

• OpenAI
• Azure
• ZhipuAI

Setup

1. Setup Python Dependencies

pip install fastapi loguru toml zhipuai openai

2. Configure your LLM providers' API keys in secrets.toml
3. Run the backend

uvicorn backend:app

4. Build the frontend

cd web && npm install && npm run build

5. Run the frontend

export SERVER_URL=http://localhost:8000 && npm run dev

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Search with Lepton

Build your own conversational search engine using less than 500 lines of code.
Live Demo

Features

• Built-in support for LLM
• Built-in support for search engine
• Customizable pretty UI interface
• Shareable, cached search results

Setup Search Engine API

Note

Visit here to get your Bing subscription key.

Setup LLM and KV

Note

We recommend using the built-in llm and kv functions with Lepton. Running the following commands to set up them automatically.

pip install -U leptonai && lep login

Build

1. Set Bing subscription key

export BING_SEARCH_V7_SUBSCRIPTION_KEY=YOUR_BING_SUBSCRIPTION_KEY

2. Build web

cd web && npm install && npm run build

3. Run server

BACKEND=BING python search_with_lepton.py

Deploy

You can deploy this to Lepton AI with one click:

You can also deploy your own version via

lep photon run -n search-with-lepton-modified -m search_with_lepton.py --env BACKEND=BING --env BING_SEARCH_V7_SUBSCRIPTION_KEY=YOUR_BING_SUBSCRIPTION_KEY

Learn more about lep photon here.