Core & Foundations
- Red Hat Enterprise Linux 10.2 (Workstation edition)
- Python 3 with pip
- PyTorch (CPU version)
- Development Tools (gcc, make, git, etc.)
Major AI Frameworks
- LangChain + LangGraph
- Llama-Index (great for RAG)
- CrewAI (for building AI agents)
- Gradio and Streamlit (for creating web UIs)
- Diffusers (for image generation)
Supporting Libraries
- numpy, pandas, scikit-learn, matplotlib
- ChromaDB, FAISS (vector databases)
- Sentence-Transformers
- Unstructured, PyMuPDF (document processing)
- PEFT, TRL, Accelerate (model fine-tuning)
Local LLM
- Ollama with llama3.2:1b model
Tools
- Visual Studio Code
- htop, gnome-tweaks, etc.
What I Can Build Now:
- Local Chatbots with nice web interfaces (Gradio)
- RAG Systems — Chat with my own PDFs and documents
- AI Agents using CrewAI
- Image Generation apps
- Streamlit Dashboards