# 🔥 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!