mi-eigenmind
Eigenmind is a decision-intelligence engine that turns tacit expert knowledge into reusable decision frameworks, ideal for data-scarce settings. Its core uses eigenvalue-based optimisation on semantic graphs.
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- CODEOWNERS
- 260522_Eigenmind_Cognitive_Maps.pdf
- ARCHITECTURE_AND_INSTALLATION_GUIDE.md
- CONTRIBUTING.md
- DEPLOYMENT_GUIDE_EIGENMIND.md
- __init__.py
- gdrive.py
- sharepoint.py
- __init__.py
- chunking.py
- corpus_analysis.py
- embeddings.py
- __init__.py
- connectivity.py
- exploration.py
- similarity_graph.py
- singular.py
- theta.py
- __init__.py
- runner.py
- store.py
- __init__.py
- ingest.py
- rag.py
- __init__.py
- auth.py
- components.py
- styles.py
- __init__.py
- store.py
- __init__.py
- config.py
- logging_config.py
- utils.js
- tom-select.complete.min.js
- tom-select.css
- vis-network.css
- vis-network.min.js
- 1_Ingest.py
- 2_Corpus_Analysis.py
- 3_Chat.py
- 4_Graph_Explorer.py
- 5_Manage.py
- __init__.py
- ingest_recursive.py
- __init__.py
- test_graph_math.py
- test_llm_provider.py
- __init__.py
- .env.example
- .gitignore
- docker-compose.yml
- eigenmind.png
- eigenmind.service.template
- MIT license.txt
- pyproject.toml
- README.md
- requirements.txt
- streamlit_app.py
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