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Timothy Jaeryang Baek 2025-04-10 10:49:10 -07:00
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@ -78,6 +78,25 @@ Bad embeddings = bad retrieval. If the vector representation of your content is
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### 5. ❌ 400: 'NoneType' object has no attribute 'encode'
This error indicates a misconfigured or missing embedding model. When Open WebUI tries to create embeddings but doesn’t have a valid model loaded, it can’t process the text—and the result is this cryptic error.
💥 Cause:
- Your embedding model isn’t set up properly.
- It might not have downloaded completely.
- Or if you're using an external embedding model, it may not be accessible.
✅ Solution:
- Go to: **Admin Settings > Documents > Embedding Model**
- Save the embedding model again—even if it's already selected. This forces a recheck/download.
- If you're using a remote/external embedding tool, make sure it's running and accessible to Open WebUI.
📌 Tip: After fixing the configuration, try re-embedding a document and verify no error is shown in the logs.
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## 🧪 Pro Tip: Test with GPT-4o or GPT-4
If you’re not sure whether the issue is with retrieval, token limits, or embedding—try using GPT-4o temporarily (e.g., via OpenAI API). If the results suddenly become more accurate, it's a strong signal that your local model’s context limit (2048 by default in Ollama) is the bottleneck.