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# 🔥 Solutions with LLMWare 🔥
New to LLMWare - [**Fast Start tutorial series**](https://github.com/llmware-ai/llmware/tree/main/tutorials)
| Solution | Detail |
| :--------- | :--------------------------------------------------------------------------------------------------------------------- |
| 1.**RAG** | A guided series of examples on building RAG Solutions |
| 2. **Embeddings** | Building embeddings on vector DBs with wide range of models and document sources |
| 3. **Sources** | Parsing documents, extracting information, retrieval and prompt building |
| 4. **Models** | Exploring different models and pipelines |
| 5. **OpenVINO** | Guide and examples for integrating OpenVINO
| 6. **ONNXRuntime** | Guide and examples for integrating ONNXRuntime models |
| 7. **GGUF** | Guide and examples for integrating GGUF models |
| 8. **SLIM Agents** | Using small language models as specialized function-calling agents |
| 9. **UI** | Adding various UI elements |
| 10. **Use Cases** | Various end-to-end demo-ready use case scenarios |
Check back from time-to-time as we are always updating these examples - especially with new use cases and contributions from the llmware Community!