LiteRAG is a
storage-optimized approximate nearest neighbor (ANN)
retrieval engine designed for edge intelligence and
distributed environments.
It integrates a lightweight graph-based index with an
adaptive on-demand recomputation layer, delivering
high-recall retrieval at minimal storage cost
— even under constrained compute conditions.
Benchmarks show that LiteRAG compresses index size to
under 4% of the raw dataset, achieving up to
50× lower storage footprint than conventional indexes, while
preserving hierarchical navigability across
multi-layer embeddings for efficient retrieval on the edge.
[truncated — 1748 more characters]
```
### postcss.config.js
```javascript
module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}
```
### next.config.js
```javascript
/** @type {import('next').NextConfig} */
const nextConfig = {
experimental: {
appDir: true,
},
}
module.exports = nextConfig
```
### next-env.d.ts
```typescript
///
///
// NOTE: This file should not be edited
// see https://nextjs.org/docs/basic-features/typescript for more information.
```
### tailwind.config.js
```javascript
/** @type {import('tailwindcss').Config} */
module.exports = {
content: [
'./pages/**/*.{js,ts,jsx,tsx,mdx}',
'./components/**/*.{js,ts,jsx,tsx,mdx}',
'./app/**/*.{js,ts,jsx,tsx,mdx}',
'./*.{js,ts,jsx,tsx,mdx}',
],
theme: {
extend: {
animation: {
'fade-in': 'fadeIn 0.5s ease-in-out',
'slide-up': 'slideUp 0.3s ease-out',
'pulse-slow': 'pulse 3s cubic-bezier(0.4, 0, 0.6, 1) infinite',
},
keyframes: {
fadeIn: {
'0%': { opacity: '0' },
'100%': { opacity: '1' },
},
slideUp: {
'0%': { transform: 'translateY(10px)', opacity: '0' },
'100%': { transform: 'translateY(0)', opacity: '1' },
},
},
backgroundImage: {
'gradient-radial': 'radial-gradient(var(--tw-gradient-stops))',
'gradient-conic': 'conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))',
},
},
},
plugins: [],
}
```
[3 more indexed source files omitted to keep this export small. The full file list is in the Codebase structure section above.]