Code samples

Published

February 13, 2026

Our Jupyter Notebook code samples showcase the capabilities and features of the ValidMind Library, while also providing you with useful examples that you can build on and adapt for your own use cases.

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Document an agentic AI system

Build and document an agentic AI system with the ValidMind Library. Construct a LangGraph-based banking agent, assign AI evaluation metric scores to your agent, and run accuracy, RAGAS, and safety tests, then log those test results to the ValidMind Platform.

Quickstart for Heston option pricing model using QuantLib

Welcome! Let's get you started with the basic process of documenting models with ValidMind.

Quickstart for knockout option pricing model documentation

Welcome! Let's get you started with the basic process of documenting models with ValidMind.

Quickstart for model code documentation

Welcome! This notebook demonstrates how to use the ValidMind code explainer to automatically generate comprehensive documentation for your codebase. The code explainer analyzes your source code and provides detailed explanations across various aspects of your implementation.

Document a credit risk model

Build and document an application scorecard model with the ValidMind Library by using Kaggle's Lending Club sample dataset to build a simple application scorecard.

Document an Excel-based application scorecard model

Build and document an Excel-based application scorecard model with the ValidMind Library. Learn how to load an Excel-based model, prepare your datasets and model for testing, run tests and log those test results to the ValidMind Platform.

Document an application scorecard model

Build and document an application scorecard model with the ValidMind Library by using Kaggle's Lending Club sample dataset to build a simple application scorecard.

Document an application scorecard model

Build and document an application scorecard model with the ValidMind Library by using Kaggle's Lending Club sample dataset to build a simple application scorecard.

Document an application scorecard model

Build and document an application scorecard model with the ValidMind Library by using Kaggle's Lending Club sample dataset to build a simple application scorecard.

Validate an application scorecard model

Learn how to independently assess an application scorecard model developed using the ValidMind Library as a validator. You'll evaluate the development of the model by conducting thorough testing and analysis, including the use of challenger models to benchmark performance.

Automate news summarization using LLMs

Document a LLM-based text summarization model of news using the CNN DailyMail sample dataset from HuggingFace with the ValidMind Library.

Prompt validation for large language models (LLMs)

Run and document prompt validation tests for a large language model (LLM) specialized in sentiment analysis for financial news.

RAG Model Benchmarking Demo

In this notebook, we are going to implement a simple RAG Model for automating the process of answering RFP questions using GenAI. We will see how we can initialize an embedding model, a retrieval model and a generator model with LangChain components and use them within the ValidMind Library to run tests against them. We'll demonstrate how to set…

RAG Model Documentation Demo

In this notebook, we are going to implement a simple RAG Model for automating the process of answering RFP questions using GenAI. We will see how we can initialize an embedding model, a retrieval model and a generator model with LangChain components and use them within the ValidMind Library to run tests against them. Finally, we will see how we…

Sentiment analysis of financial data using Hugging Face NLP models

Document a natural language processing (NLP) model using the ValidMind Library after performing a sentiment analysis of financial news data using several different Hugging Face transformers.

Sentiment analysis of financial data using a large language model (LLM)

Document a large language model (LLM) specialized in sentiment analysis for financial news using the ValidMind Library.

Summarization of financial data using Hugging Face NLP models

Document a natural language processing (NLP) model using ValidMind to summarize financial news, based on a dataset of just over 300,000 unique news articles written by journalists at CNN and the Daily Mail.

Summarization of financial data using a large language model (LLM)

Document a large language model (LLM) using the ValidMind Library. The use case is a summarization of financial news based on a dataset containing just over 300k unique news articles as written by journalists at CNN and the Daily Mail.

Ongoing Monitoring for Application Scorecard

In this notebook, you'll learn how to seamlessly monitor your production models using the ValidMind Platform.

Quickstart for ongoing monitoring of models with ValidMind

Welcome! In this quickstart guide, you'll learn how to seamlessly monitor your production models using the ValidMind Platform.

Document a California Housing Price Prediction regression model

Use the California Housing Price Prediction sample dataset from Sklearn to train a simple regression model and document that model with the ValidMind Library.

Document a time series forecasting model

Use the FRED sample dataset to train a simple time series model and document that model with the ValidMind Library.

Document a time series forecasting model

Use the FRED sample dataset to train a simple time series model and document that model with the ValidMind Library.