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