8b3f31409e
- Filter out chunks smaller than min_chunk_size (default 100 tokens) - Exception: Keep all chunks if entire document is smaller than target size - All 15 tests passing (100% pass rate) Fixes edge case where very small chunks (e.g., 'Short.' = 6 chars) were being created despite min_chunk_size=100 setting. Test: pytest tests/test_rag_chunker.py -v
42 lines
1.1 KiB
Plaintext
42 lines
1.1 KiB
Plaintext
# Skill Seekers Docker Environment Configuration
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# Copy this file to .env and fill in your API keys
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# Claude AI / Anthropic API
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# Required for AI enhancement features
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# Get your key from: https://console.anthropic.com/
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ANTHROPIC_API_KEY=sk-ant-your-key-here
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# Google Gemini API (Optional)
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# Required for Gemini platform support
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# Get your key from: https://makersuite.google.com/app/apikey
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GOOGLE_API_KEY=
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# OpenAI API (Optional)
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# Required for OpenAI/ChatGPT platform support
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# Get your key from: https://platform.openai.com/api-keys
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OPENAI_API_KEY=
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# GitHub Token (Optional, but recommended)
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# Increases rate limits from 60/hour to 5000/hour
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# Create token at: https://github.com/settings/tokens
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# Required scopes: public_repo (for public repos)
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GITHUB_TOKEN=
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# MCP Server Configuration
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MCP_TRANSPORT=http
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MCP_PORT=8765
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# Docker Resource Limits (Optional)
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# Uncomment to set custom limits
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# DOCKER_CPU_LIMIT=2.0
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# DOCKER_MEMORY_LIMIT=4g
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# Vector Database Ports (Optional - change if needed)
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# WEAVIATE_PORT=8080
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# QDRANT_PORT=6333
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# CHROMA_PORT=8000
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# Logging (Optional)
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# SKILL_SEEKERS_LOG_LEVEL=INFO
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# SKILL_SEEKERS_LOG_FILE=/data/logs/skill-seekers.log
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