The Mistral Cookbook features examples contributed by our community and partners. If you have cool examples showcasing Mistral models, feel free to share them by submitting a PR to this repo.
- File Format: Please submit your example in the .md or .ipynb format.
- Runnable on Colab: If you're sharing a notebook example, try to make sure it's runnable on Google Colab.
- Authorship: Kindly include your name and affiliation at the begining of the file.
- Descriptions: Please include your notebook along with its category and descriptions in the table below.
- Tone: Kindly maintain a neural tone and minimize any excessive marketing materials.
- Reproducibility: To ensure others can reproduce your work, kindly tag package versions in your code.
- Image size: If you have images, please make sure each image's size is below 500KB.
- Copyright: Always respect copyright and intellectual property laws.
Disclaimer: Examples contributed by the community and partners do not represent Mistral's views and opinions.
- Originality: Is your content original and offering a fresh perspective?
- Clear: Is your content well-structured and clearly written?
- Value: Is your content valuable to the community? Does the community need it?
| Notebook | Category | Description |
|---|---|---|
| langgraph_crag_mistral.ipynb | RAG | Corrective RAG using self-reflection with LangGraph and Mistral with option to run locally (with Ollama). |
| prompting_capabilities.ipynb | prompting | Write prompts for classification, summarization, personalization, and evaluation |
| basic_RAG.ipynb | RAG | RAG from scratch with Mistral AI API |
| embeddings.ipynb | embeddings | Use Mistral embeddings API for classification and clustering |
| llamaindex_agentic_rag.ipynb | RAG, agent | Use Mistral AI with LlamaIndex and ReAct agent |
| haystack_chat_with_docs.ipynb | RAG, embeddings | Use Mistral AI with Haystack indexing and RAG pipelines |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent