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Mistral Cookbook

The Mistral Cookbook features examples contributed by Mistralers and our community, as well as our 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, your Github handle, 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 neutral 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
data_generation_refining_news.ipynb data generation Simple data generation to refine news articles
image_description_extraction_pixtral.ipynb image processing, prompting Extract structured image descriptions using Mistral's Pixtral model and JSON response formatting

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 Arize Phoenix
arize_phoenix_evaluate_rag.ipynb evaluation Arize Phoenix
azure_ai_search_rag.ipynb RAG, embeddings Azure
CAMEL Graph RAG with Mistral Models multi-agent, tool, data gen CAMEL-AI.org
CAMEL Role-Playing Scraper multi-agent, tool, data gen CAMEL-AI.org
Chainlit - Mistral reasoning.ipynb UI chat, tool calling Chainlit
corrective_rag_mistral.ipynb RAG Langchain
distilabel_synthetic_dpo_dataset.ipynb synthetic data Argilla
E2B Code Interpreter SDK with Codestral tool, agent E2B
function_calling_local.ipynb tool call Ollama
Gradio Integration - Chat with PDF UI chat, 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
llamaindex_mistralai_finetuning.ipynb fine-tuning LLamaIndex
llamaindex_mistral_multi_modal.ipynb MultiModalLLM-Pixtral LLamaIndex
Microsoft Autogen - Function calling a pgsql db Tool call, agent, RAG Ms Autogen
Mesop Integration - Chat with PDF UI chat, demo, RAG Mesop
neon_text_to_sql.ipynb code Neon
ollama_mistral_llamaindex.ipynb RAG LLamaIndex
Ollama Meetup Demo demo Ollama
Open-source LLM engineering LLM Observability Langfuse
Panel Integration - Chat with PDF UI chat, demo, RAG Panel
phospho integration Evaluation, Analytics phospho
pinecone_rag.ipynb RAG Pinecone
RAG.ipynb RAG LLamaIndex
RouterQueryEngine.ipynb agent LLamaIndex
self_rag_mistral.ipynb RAG Langchain
Streamlit Integration - Chat with PDF UI chat, demo, RAG Streamlit
SubQuestionQueryEngine.ipynb agent LLamaIndex
LLM Judge: Detecting hallucinations in language models fine-tuning, evaluation Weights & Biases
x mistral: CLI & TUI APP Module in X-CMD CLI, TUI APP, Chat x-cmd
Incremental Prompt Engineering and Model Comparison Prompt Engineering, Evaluation Pixeltable