Get up and running in 60 seconds! ⚡
./start_server.shstart_server.batpython api/simple_api.pyThen open: http://localhost:8000
- Store concepts and see 4D coordinates
- Semantic search (search by meaning!)
- Proximity search in 4D space
- Live statistics dashboard
- Built-in tutorials
- Full REST API at
/api/ - Interactive docs at
/api/docs - Try endpoints in your browser
from src.semantic_substrate_database import SemanticSubstrateDatabase
db = SemanticSubstrateDatabase("my_db.db")
db.store_concept("love", "biblical")
results = db.search_semantic("compassion", "biblical")
db.close()- Go to "Store Concept" tab
- Enter:
love - Context:
biblical - Click "Analyze & Store"
- See the 4D coordinates!
- First, store some concepts:
love,faith,hope,charity
- Go to "Semantic Search" tab
- Search for:
compassion and kindness - See concepts ranked by semantic similarity!
- Go to "Proximity Search" tab
- Set sliders: Love=0.9, Justice=0.8, Power=0.6, Wisdom=0.7
- Click "Find Nearby Concepts"
- See all concepts near that point in 4D space!
- Read HOW_TO_USE.md for comprehensive guide
- Check README.md for architecture details
- Explore http://localhost:8000/api/docs for API reference
- Build your own semantic database!
pip install numpy fastapi uvicorn# Use different port
uvicorn api.simple_api:app --port 8001Open an issue: https://github.com/BruinGrowly/Semantic-Substrate-Database/issues
Welcome to the future of meaning-native databases! 🌌