From 39c83faec912fb8209b7122a44957d95762e53f0 Mon Sep 17 00:00:00 2001 From: Classic298 <27028174+Classic298@users.noreply.github.com> Date: Sun, 14 Sep 2025 12:33:53 +0200 Subject: [PATCH] Update rag.mdx --- docs/troubleshooting/rag.mdx | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/docs/troubleshooting/rag.mdx b/docs/troubleshooting/rag.mdx index ac271398..c0d4233e 100644 --- a/docs/troubleshooting/rag.mdx +++ b/docs/troubleshooting/rag.mdx @@ -61,13 +61,9 @@ Even after content extraction and cleaning, web pages easily consume 4,000-8,000 - 🛠ī¸ **For Ollama Models**: Extend the model's context length: - Navigate to: **Admin Panel > Models > Settings** (of the model you want to edit) - Go to **Advanced Parameters** - - Modify the context length (e.g., increase to 8192+ tokens if supported by your model) + - Modify the context length (e.g., increase to 8192+ or ideally beyond 16000 tokens if supported by your model) -- 🌐 **For OpenAI and Other Integrated Models**: These models typically have their own context limits that cannot be modified through Open WebUI settings. Ensure you're using a model with sufficient context length: - - GPT-4: 8,192 tokens - - GPT-4-32k: 32,768 tokens - - GPT-4 Turbo: 128,000 tokens - - Claude 3: Up to 200,000 tokens +- 🌐 **For OpenAI and Other Integrated Models**: These models typically have their own context limits that cannot be modified through Open WebUI settings. Ensure you're using a model with sufficient context length. ℹī¸ Note: The 2048-token default is a big limiter for web search. For better RAG results with web content, we strongly recommend using at least 8192 tokens, with 16384+ being ideal for complex web pages.