Conversational search engine demo
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This project provides a conversational search engine demo built with Lepton AI, enabling users to create a custom search experience with less than 500 lines of code. It targets developers and researchers looking for a quick way to prototype AI-powered search applications with integrated LLM and customizable UI.
How It Works
The demo leverages Lepton AI's framework for seamless integration of Large Language Models (LLMs) and key-value (KV) stores. It supports multiple search engine backends, including Bing, Google (via SearchApi, Serper, or Programmable Search Engine), allowing users to choose their preferred data source. The architecture is designed for simplicity and rapid prototyping, with a focus on a shareable and cached search results experience.
Quick Start & Requirements
pip install -U leptonai openai && lep login
BING_SEARCH_V7_SUBSCRIPTION_KEY
), Lepton AI Workspace Token (LEPTON_WORKSPACE_TOKEN
), and optionally API keys for Google Search (SearchApi, Serper, or Programmable Search Engine).npm install && npm run build
.BACKEND=BING python search_with_lepton.py
(or other backends).lep photon run
.Highlighted Details
Maintenance & Community
The project is maintained by Lepton AI. Further community engagement details are not explicitly provided in the README.
Licensing & Compatibility
The README does not specify a license. Compatibility for commercial use or closed-source linking is not detailed.
Limitations & Caveats
The project is presented as a demo, and its production-readiness or long-term support status is not specified. Obtaining API keys for various search engines is a prerequisite.
1 month ago
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