594f749d4c
Full-stack GraphRAG chatbot for HP marketing materials with: - Python/Flask backend with custom ReAct agent (LlamaIndex) - Neo4j knowledge graph + vector search hybrid retrieval - LlamaParse multimodal document processing (text + images) - React/Vite frontend with conversation management - MongoDB conversation persistence - MSAL authentication support Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
39 lines
454 B
Text
39 lines
454 B
Text
# Environment variables (contain API keys and credentials)
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.env
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.env.*
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env
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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venv/
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.venv/
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*.egg-info/
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dist/
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build/
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# Node
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chat-interface/node_modules/
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chat-interface/dist/
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# Generated data (runtime artifacts, not source code)
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uploads/
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index_storage/
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*.log
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# Large binary source documents (too large for git)
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supporting_files/
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# macOS
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.DS_Store
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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# Claude Code
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.claude/
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