RAG
Embedding Models for RAG: Which to Run Locally
nomic-embed-text is still the default for most local RAG setups — 274MB, 8K context, runs on CPU. But Qwen3-Embedding 0.6B just changed the game. Model picks, VRAM needs, speed numbers, and the chunking mistakes that break retrieval.
AnythingLLM Setup Guide: Chat With Your Documents Locally
Upload PDFs, paste URLs, and chat with your files — no coding, no cloud. AnythingLLM connects to Ollama in 5 minutes with point-and-click RAG on 54K+ GitHub stars.
Best Local LLMs for RAG in 2026
The best local models for retrieval-augmented generation by VRAM tier. Qwen 3, Command R 35B, embedding models, and RAG stacks with real failure modes.
Local RAG: Search Your Documents with a Private AI
Search your private PDFs, notes, and code with a local LLM—no cloud, no API calls. 3 setup methods from zero-config Open WebUI to 30 lines of Python with ChromaDB.