Local Ai
Best Ollama model for n8n workflows (RAG, file handling, reasoning) + hardware requirements?
Models like Qwen3 and Llama 3.2 are commonly used for n8n RAG workflows , with selection depending on use case requirements. Running Ollama models locally requires at least 16 GB of RAM on your device
Models like Qwen3 and Llama 3.2 are commonly used for n8n RAG workflows , with selection depending on use case requirements. Running Ollama models locally requires at least 16 GB of RAM on your device, and a GPU if possible . PDF ingestion performs better than text-based alternatives because direct parsing preserves document structure and allows more precise retrieval .
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Source: r/ollama | 2026-04-17