Search with Lepton - Locally

Build your own conversational search engine for local files using less than 500 lines of code.

Features

• Built-in support for Large Language Models (LLM)
• Built-in support for local search engine
• Customizable pretty UI interface
• Shareable, cached search results

Setup Google Drive Real Time Search Engine API

Pathway Real Time Search - Google Drive

Follow this tutorial to guide you through connecting Pathway to your data stored on Google Drive. Make sure to place credentials.json in the same directory as pathway_retriever.py.

Setup LLM and KV

Note

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

pip install -U leptonai && lep login

Build

1. Run Pathway’s vector store for up-to-date knowledge and information retrieval for your Google Drive.

export OPENAI_API_KEY=YOUR_OPENAI_API_KEY # temporary
python pathway_retriever.py

2. Build the web interface.

cd web && npm install && npm run build

3. Run the server.

BACKEND=LOCAL python search_with_lepton.py

TODO: Deploy Locally