Fss-Rag-Mini/.mini-rag/config.yaml
BobAi a1f84e2bd5 Update model recommendations to Qwen3 4B and fix status command
- Changed primary model recommendation from qwen3:1.7b to qwen3:4b
- Added Q8 quantization info in technical docs for production users
- Fixed method name error: get_embedding_info() -> get_status()
- Updated all error messages and test files with new recommendations
- Maintained beginner-friendly options (1.7b still very good, 0.6b surprisingly good)
- Added explanation of why small models work well with RAG context
- Comprehensive testing completed - system ready for clean release
2025-08-12 20:01:16 +10:00

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1.7 KiB
YAML

# FSS-Mini-RAG Configuration
# Edit this file to customize indexing and search behavior
# See docs/GETTING_STARTED.md for detailed explanations
# Text chunking settings
chunking:
max_size: 2000 # Maximum characters per chunk
min_size: 150 # Minimum characters per chunk
strategy: semantic # 'semantic' (language-aware) or 'fixed'
# Large file streaming settings
streaming:
enabled: true
threshold_bytes: 1048576 # Files larger than this use streaming (1MB)
# File processing settings
files:
min_file_size: 50 # Skip files smaller than this
exclude_patterns:
- "node_modules/**"
- ".git/**"
- "__pycache__/**"
- "*.pyc"
- ".venv/**"
- "venv/**"
- "build/**"
- "dist/**"
include_patterns:
- "**/*" # Include all files by default
# Embedding generation settings
embedding:
preferred_method: ollama # 'ollama', 'ml', 'hash', or 'auto'
ollama_model: nomic-embed-text
ollama_host: localhost:11434
ml_model: sentence-transformers/all-MiniLM-L6-v2
batch_size: 32 # Embeddings processed per batch
# Search behavior settings
search:
default_limit: 10 # Default number of results
enable_bm25: true # Enable keyword matching boost
similarity_threshold: 0.1 # Minimum similarity score
expand_queries: false # Enable automatic query expansion
# LLM synthesis and query expansion settings
llm:
ollama_host: localhost:11434
synthesis_model: auto # 'auto', 'qwen3:1.7b', etc.
expansion_model: auto # Usually same as synthesis_model
max_expansion_terms: 8 # Maximum terms to add to queries
enable_synthesis: false # Enable synthesis by default
synthesis_temperature: 0.3 # LLM temperature for analysis