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>
18 lines
388 B
YAML
18 lines
388 B
YAML
version: '3'
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services:
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mongodb:
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image: mongo:latest
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container_name: mongodb
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ports:
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- "27017:27017"
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# Comment out authentication for local development
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# environment:
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# MONGO_INITDB_ROOT_USERNAME: netflix
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# MONGO_INITDB_ROOT_PASSWORD: netflix
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volumes:
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- mongodb_data:/data/db
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restart: always
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volumes:
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mongodb_data:
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driver: local
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