rag
Retrieval-Augmented Generation (RAG) for grounding LLM responses with external knowledge. Covers document chunking, embeddings, vector stores (pandas, ChromaDB), similarity search, and conversational RAG pipeli...
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Retrieval-Augmented Generation (RAG) for grounding LLM responses with external knowledge. Covers document chunking, embeddings, vector stores (pandas, ChromaDB), similarity search, and conversational RAG pipeli...
Desktop customization for Bazzite. GTK theme restoration, terminal transparency, and MOTD settings. Use when users need to customize their desktop appearance.
Import GGUF models from HuggingFace into Ollama. Pull models directly using the hf.co/ prefix, track download progress, and use imported models for inference.
LocalAI local inference API management via Podman Quadlet. Provides an OpenAI-compatible API for local model inference with GPU acceleration. Use when users need to configure, start, or manage the LocalAI servi...
Official ollama Python library for LLM inference. Provides a clean, Pythonic interface for text generation, chat completion, embeddings, model management, and streaming responses.
GPU driver configuration for Bazzite. NVIDIA proprietary drivers, Optimus laptops, NVK (open-source NVIDIA), GPU switching, Broadcom WiFi, and Mesa testing builds. Use when users need to configure graphics driv...
Network configuration for Bazzite. iwd WiFi backend, Wake-on-LAN, and Tailscale VPN. Use when users need to configure network services. For SSH, see bazzite-ai:config.
Aggregate management for all AI pod services. Provides status overview and bulk operations across all pod containers (ollama, jupyter, comfyui, openwebui, localai, fiftyone, jellyfin, runners).
QCOW2 virtual machine management using libvirt. Creates VMs from pre-built images downloaded from R2 CDN with cloud-init customization. Supports SSH, VNC, and virtiofs home directory sharing. Use when users nee...
OpenAI compatibility layer for Ollama. Use the official OpenAI Python library to interact with Ollama, enabling easy migration from OpenAI and compatibility with LangChain, LlamaIndex, and other OpenAI-based to...
Ollama LLM inference server management via Podman Quadlet. Single-instance design with GPU acceleration for running local LLMs. Use when users need to configure Ollama, pull models, run inference, or manage the...
Audio configuration for Bazzite. Virtual audio channels for Game/Voice/Browser/Music, 7.1 surround for headphones, Bluetooth headset profiles, and PipeWire management. Use when users need to configure audio on...
ComfyUI node-based Stable Diffusion interface. GPU-accelerated image generation with custom node support and CivitAI model downloads. Use 'ujust comfyui' for configuration, lifecycle management, and model/node...
LangChain framework for LLM applications. Covers model wrappers (HuggingFace, Ollama), prompt templates, few-shot learning, output parsing, and chaining techniques for building sophisticated LLM workflows.
Parameter-efficient fine-tuning with LoRA and Unsloth. Covers LoraConfig, target module selection, QLoRA for 4-bit training, adapter merging, and Unsloth optimizations for 2x faster training.
Development: Unified build system for OS images, pods, VMs, and ISOs. Run from repository root with 'just build '. Includes smart cache strategy that matches GitHub Actions for optimal build times.
Boot configuration for Bazzite OS. BIOS/UEFI access, GRUB menu settings, secure boot key enrollment, and Windows dual-boot setup. Use when users need to configure boot options or access BIOS settings.
LLM evaluation and prompt optimization with Evidently.ai. Covers text descriptors, dataset metrics, LLM-as-a-Judge patterns, and automated prompt optimization for classification and generation tasks.
JupyterLab ML/AI development environment management via Podman Quadlet. Supports multi-instance deployment, GPU acceleration (NVIDIA/AMD/Intel), token authentication, and per-instance configuration. Use when us...
Runtime verification tests for bazzite-ai installations. Validates GPU access, CUDA/PyTorch, service health, pod lifecycles, k3d clusters, and network connectivity. Run with 'ujust test' on installed systems. U...
Reward model training for RLHF pipelines. Covers RewardTrainer, preference dataset preparation, sequence classification heads, and reward scaling for stable reinforcement learning. Includes thinking quality sco...
bootc VM management via bcvk (bootc virtualization kit). Run bootable containers as VMs for testing. Supports ephemeral (quick test) and persistent modes. Use when users need to test bootable container images a...
Vision model fine-tuning with FastVisionModel. Covers Pixtral, Ministral VL training, UnslothVisionDataCollator, image+text datasets, and vision-specific LoRA configuration.
Advanced QLoRA experiments and comparisons. Covers alpha scaling, LoRA rank selection, target module strategies, continual learning, multi-adapter hot-swapping, and quantization comparison (4-bit vs BF16).
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