Search with Lepton

Overview

A TypeScript framework for building lightweight, conversational search demos using Lepton AI. It wraps a large language model into a search interface that returns direct answers and citations from a queried index.

Best for

Best for
Developers who need a fast, no-frills conversational search demo for evaluation or presentation

Use cases

• Prototyping a chat-style search experience over a custom dataset
• Creating a quick proof-of-concept for a retrieval-augmented generation (RAG) pipeline
• Demonstrating LLM-based search with minimal setup and configuration

Notes

A TypeScript framework for building lightweight, conversational search demos using Lepton AI. It wraps a large language model into a search interface that returns direct answers and citations from a queried index.

8,089 stars on GitHub. Last updated 2025-12-02. Licensed Apache-2.0.

Use cases

• Prototyping a chat-style search experience over a custom dataset
• Creating a quick proof-of-concept for a retrieval-augmented generation (RAG) pipeline
• Demonstrating LLM-based search with minimal setup and configuration

Pros

• Very few dependencies, easy to spin up in minutes
• Provides clean answer + citation output out of the box
• Actively maintained with a large community (8k+ stars)

Cons

• Tied to the Lepton AI platform for model inference and indexing
• Not designed for production-scale or persistent storage use cases
• Limited documentation and example coverage outside the default demo

Indexed from awesome-llm and enriched against its public facts.