236d1ddbd8
Full-stack application combining LlamaIndex vector search with Neo4j knowledge graph (GraphRAG) for answering queries about Netflix marketing materials. Flask/Hypercorn backend with custom ReAct agent, React frontend. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
28 lines
660 B
JavaScript
28 lines
660 B
JavaScript
/** @type {import('tailwindcss').Config} */
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export default {
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content: [
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"./index.html",
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"./src/**/*.{js,jsx,ts,tsx}",
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],
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darkMode: 'class', // Enable class-based dark mode
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theme: {
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extend: {
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colors: {
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border: "hsl(var(--border))",
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background: "hsl(var(--background))",
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foreground: "hsl(var(--foreground))",
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muted: {
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DEFAULT: "hsl(var(--muted))",
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foreground: "hsl(var(--muted-foreground))"
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},
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},
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borderRadius: {
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lg: "var(--radius)",
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md: "calc(var(--radius) - 2px)",
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sm: "calc(var(--radius) - 4px)",
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},
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},
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},
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plugins: [],
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}
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