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>
17 lines
325 B
JSON
17 lines
325 B
JSON
{
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"$schema": "https://ui.shadcn.com/schema.json",
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"style": "default",
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"rsc": false,
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"tsx": false,
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"tailwind": {
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"config": "tailwind.config.js",
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"css": "src/index.css",
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"baseColor": "slate",
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"cssVariables": true
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},
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"aliases": {
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"components": "@/components",
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"utils": "@/lib/utils"
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}
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}
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