docs: Add troubleshooting guide for embedding models (fixes #9064) (#9065)

docs: Add troubleshooting guide for embedding models (#9064)

- Add section on using gallery models for embeddings
- Document common issues with embedding model configuration
- Add troubleshooting guide for Qwen3 embedding models
- Include correct configuration examples for Qwen3-Embedding-4B
- Document context size limits and dimension parameters
- Add table of Qwen3 embedding model specifications

Fixes #9064

Signed-off-by: localai-bot <localai-bot@localai.io>
Co-authored-by: localai-bot <localai-bot@localai.io>

docs/content/features/embeddings.md

@@ -1,4 +1,3 @@
-
 +++
 disableToc = false
 title = "🧠 Embeddings"
@@ -14,6 +13,28 @@ For the API documentation you can refer to the OpenAI docs: https://platform.ope
 
 The embedding endpoint is compatible with `llama.cpp` models, `bert.cpp` models and sentence-transformers models available in huggingface.
 
+## Using Gallery Models
+
+LocalAI provides a model gallery with pre-configured embedding models. To use a gallery model:
+
+1. Ensure the model is available in the gallery (check [Model Gallery]({{%relref "features/model-gallery" %}}))
+2. Use the model name directly in your API calls
+
+Example gallery models:
+- `qwen3-embedding-4b` - Qwen3 Embedding 4B model
+- `qwen3-embedding-8b` - Qwen3 Embedding 8B model  
+- `qwen3-embedding-0.6b` - Qwen3 Embedding 0.6B model
+
+### Example: Using Qwen3-Embedding-4B from Gallery
+
+```bash
+curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json" -d '{
+  "input": "My text to embed",
+  "model": "qwen3-embedding-4b",
+  "dimensions": 2560
+}'
+```
+
 ## Manual Setup
 
 Create a `YAML` config file in the `models` directory. Specify the `backend` and the model file.
@@ -73,4 +94,78 @@ curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json
 
 ## 💡 Examples
 
-- Example that uses LLamaIndex and LocalAI as embedding: [here](https://github.com/mudler/LocalAI-examples/tree/main/query_data).
+- Example that uses LLamaIndex and LocalAI as embedding: [here](https://github.com/mudler/LocalAI-examples/tree/main/query_data).
+
+## ⚠️ Common Issues and Troubleshooting
+
+### Issue: Embedding model not returning correct results
+
+**Symptoms:**
+- Model returns empty or incorrect embeddings
+- API returns errors when calling embedding endpoint
+
+**Common Causes:**
+
+1. **Incorrect model filename**: Ensure you're using the correct filename from the gallery or your model file location.
+   - Gallery models use specific filenames (e.g., `Qwen3-Embedding-4B-Q4_K_M.gguf`)
+   - Check the [Model Gallery]({{%relref "features/model-gallery" %}}) for correct filenames
+
+2. **Context size mismatch**: Ensure your `context_size` setting doesn't exceed the model's maximum context length.
+   - Qwen3-Embedding-4B: max 32k (32768) context
+   - Qwen3-Embedding-8B: max 32k (32768) context
+   - Qwen3-Embedding-0.6B: max 32k (32768) context
+
+3. **Missing `embeddings: true` flag**: The model configuration must have `embeddings: true` set.
+
+**Correct Configuration Example:**
+
+```yaml
+name: qwen3-embedding-4b
+backend: llama-cpp
+embeddings: true
+context_size: 32768
+parameters:
+  model: Qwen3-Embedding-4B-Q4_K_M.gguf
+```
+
+### Issue: Dimension mismatch
+
+**Symptoms:**
+- Returned embedding dimensions don't match expected dimensions
+
+**Solution:**
+- Use the `dimensions` parameter in your API request to specify the output dimension
+- Qwen3-Embedding models support dimensions from 32 to 2560 (4B) or 4096 (8B)
+
+```bash
+curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json" -d '{
+  "input": "My text",
+  "model": "qwen3-embedding-4b",
+  "dimensions": 1024
+}'
+```
+
+### Issue: Model not found
+
+**Symptoms:**
+- API returns 404 or "model not found" error
+
+**Solution:**
+- Ensure the model is properly configured in the models directory
+- Check that the model name in your API request matches the `name` field in the configuration
+- For gallery models, ensure the gallery is properly loaded
+
+## Qwen3 Embedding Models Specifics
+
+The Qwen3 Embedding series models have these characteristics:
+
+| Model | Parameters | Max Context | Max Dimensions | Supported Languages |
+|-------|------------|-------------|----------------|---------------------|
+| qwen3-embedding-0.6b | 0.6B | 32k | 1024 | 100+ |
+| qwen3-embedding-4b | 4B | 32k | 2560 | 100+ |
+| qwen3-embedding-8b | 8B | 32k | 4096 | 100+ |
+
+All models support:
+- User-defined output dimensions (32 to max dimensions)
+- Multilingual text embedding (100+ languages)
+- Instruction-tuned embedding with custom instructions