Build a Local Knowledge Base (RAG) with Ollama and Open WebUI or AnythingLLM
Local knowledge base setup with RAG: pair Ollama with Open WebUI or AnythingLLM, pick an embedding model, size chunks and context, and keep data private.
Local knowledge base setup with RAG: pair Ollama with Open WebUI or AnythingLLM, pick an embedding model, size chunks and context, and keep data private.
Turn a Mac mini into a local LLM server: M6 vs M5 Pro bandwidth, memory tiers, Ollama network settings, no-sleep setup, and price per GB of memory.
Ollama download slow? Check proxies and resume, move models with OLLAMA_MODELS, and pull GGUF files from ModelScope or Hugging Face. Windows, Mac, Linux.
Ollama vs LM Studio vs llama.cpp compared: setup effort, interface, API server, control and licensing, with a decision guide and how to switch between them.
Local LLM installation service: five steps of remote setup, scope and deliverables, remote access safety, an acceptance checklist and when DIY is faster.
Gemma local deployment with Ollama: compare Gemma 4 e2b, e4b, 12b, 26b and 31b sizes and context, pick one by VRAM, and set thinking mode, sampling, and fixes.
gpt-oss local deployment with Ollama and llama.cpp: official memory needs for 20b and 120b, MXFP4, MoE offload flags, and reasoning effort.
Local LLM for coding: set up Ollama with Continue, pick Qwen Coder sizes by VRAM, split autocomplete, chat and agent roles, and avoid context and speed traps.
Local LLM privacy explained: what stays on your machine, where data can still leak, which Ollama and Open WebUI settings to check, and a practical checklist.
大模型本地部署服务怎么选:远程安装的五个步骤、服务范围与交付物、远程访问的安全要点、验收测试和自己动手的判断标准,附提问清单与常见坑。