Mistral Cookbook

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.

Submission Guidelines:

• 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 beginning 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.

Content Guidelines:

• 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?

Main Notebooks

Notebook	Category	Description
quickstart.ipynb	chat, embeddings	Basic quickstart with chat and embeddings with Mistral AI API
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
function_calling.ipynb	function calling	Use Mistral API for function calling
evaluation.ipynb	evaluation	Evaluate models with Mistral API
mistral_finetune_api.ipynb	fine-tuning	Finetune a model with Mistral fine-tuning API
mistral-search-engine.ipynb	RAG, function calling	Search engine built with Mistral API, function calling and RAG
prefix_use_cases.ipynb	prefix, prompting	Cool examples with Mistral’s prefix feature
synthetic_data_gen_and_finetune.ipynb	data generation, fine-tuning	Simple data generation and fine-tuning guide

Third Party Tools

Tools	Category	Party
adaptive_rag_mistral.ipynb	RAG	Langchain
Adaptive_RAG.ipynb	RAG	LLamaIndex
Agents_Tools.ipynb	agent	LLamaIndex
arize_phoenix_tracing.ipynb	tracing data	Phoenix
Automating function-calling	function calling	Hypertion
azure_ai_search_rag.ipynb	RAG, embeddings	Azure
Chainlit - Mistral reasoning.ipynb	UI chat, tool calling	Chainlit
corrective_rag_mistral.ipynb	RAG	Langchain
distilabel_synthetic_dpo_dataset.ipynb	synthetic data	Argilla
function_calling_local.ipynb	tool call	Ollama
Gradio Integration - Chat with PDF	demo, RAG	Gradio
haystack_chat_with_docs.ipynb	RAG, embeddings	Haystack
Indexify Integration - PDF Entity Extraction	entity extraction, PDF	Indexify
Indexify Integration - PDF Summarization	summarization, PDF	Indexify
langgraph_code_assistant_mistral.ipynb	code	Langchain
langgraph_crag_mistral.ipynb	RAG	Langchain
llamaindex_agentic_rag.ipynb	RAG, agent	LLamaIndex
neon_text_to_sql.ipynb	code	Neon
Ollama Meetup Demo	demo	Ollama
Panel Integration - Chat with PDF	demo, RAG	Panel
pinecone_rag.ipynb	RAG	Pinecone
RAG.ipynb	RAG	LLamaIndex
RouterQueryEngine.ipynb	agent	LLamaIndex
self_rag_mistral.ipynb	RAG	Langchain
Streamlit Integration - Chat with PDF	demo, RAG	Streamlit
SubQuestionQueryEngine.ipynb	agent	LLamaIndex