Best Local RAG Models for Ollama in 2026（英文原文）
该文章中文翻译尚未完成校对，当前展示英文原文，请以英文内容为准。
当前为英文原文模式。检测到占位稿，暂不展示未校对中文内容。
推荐先阅读英文页： https://localvram.com/en/blog/best-local-rag-models-2026/
RAG quality is not only model strength. Retrieval quality and context discipline dominate outcomes.
Local RAG selection criteria
- Stable response at constrained context windows
- Good multilingual retrieval synthesis
- Predictable latency under repeated queries
Practical stack guidance
- Start with a balanced 7B/14B Q4 model
- Use strong chunking and embedding hygiene
- Only scale model size when retrieval quality is already solid
Most teams should optimize retrieval before switching to heavier models.