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TODO:

  • Create volumes for Codegemma & Phi3 RAG
  • Finish fleshing out agentic logic via LangChain in Streamlit app.py
  • Rework password & auth
  • Add in RBAC

Overview

This project is aimed at creating a local, Dockerized environment for ML and DevOps projects. In order to maintain a robust security posture, I intend to integrate +1 of the following: Renovate, DependaBot, Trivy, and Copa

Running the Environment

docker-compose run --build

Endpoints

  • Ollama: curl -X POST http://localhost:11434/api/generate -d '{ "model": "phi3:medium", "prompt": "What is the capital of Zimbabwe?" }'
    • Running a new model: docker exec -it ollama ollama run llama3
  • Neo4j: http://localhost:7474 (default http endpoint)

References

General Dev References

Security

Networking

ML/ AI Datasets and Things I Found Helpful

Docker Images

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