How to Set Up a Local RAG — Chat With Your Own Documents (2026)
Build a private, local RAG so a model can answer questions about your PDFs and notes — using Ollama plus Open WebUI or AnythingLLM, an embedding model, and no cloud.
Read tutorial →From your first Ollama install to advanced multi-GPU setups. Practical setup guides for running AI on your hardware.
New here? Start with Local AI for Beginners, then use the planning tools and VRAM guide before you build or buy.
Build a private, local RAG so a model can answer questions about your PDFs and notes — using Ollama plus Open WebUI or AnythingLLM, an embedding model, and no cloud.
Read tutorial →Set up a fully local AI coding assistant in VS Code with Ollama and Cline or Continue. Which model to pull for your VRAM, how to connect the editor, and how to avoid the common slowdowns.
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Read tutorial →Set up Open WebUI with Ollama to get a ChatGPT-style interface for your local models. Docker install, connecting to Ollama, RAG document chat, and first setup.
Read tutorial →Run Stable Diffusion and FLUX locally: which interface to use (Forge, ComfyUI, A1111), the real VRAM you need for SDXL, SD3.5, and FLUX, and a clean setup path.
Read tutorial →The best open models to run locally in 2026, picked by hardware tier: which to run on 8GB, 16GB, and 24GB, with verified sizes from the official Ollama library.
Read tutorial →Run Qwen3 on your own GPU with Ollama. Which size fits your VRAM (including the efficient 30B-A3B MoE), exact commands, and how to get the most from it.
Read tutorial →LM Studio vs Ollama compared for 2026: GUI vs CLI, the OpenAI-compatible API, Apple Silicon speed, Docker, and which local LLM runtime fits your workflow.
Read tutorial →Run DeepSeek R1 on your own GPU with Ollama. Which distilled size fits your VRAM, exact commands, the 671B reality check, and how to get good reasoning output.
Read tutorial →Install Ollama on Windows, macOS, or Linux and run your first local model in minutes. Official commands, GPU setup, common errors, and what to do next.
Read tutorial →Never run AI locally before? This step-by-step guide takes you from zero to chatting with your own private AI model in under 10 minutes. No coding required.
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