Welcome to TruLens
Introduction to TruLens
TruLens is an innovative tool designed to help developers systematically evaluate and track their language model (LLM) applications. As you develop your application, which may include prompts, models, retrievers, and knowledge sources, TruLens provides essential insights into its performance. The platform’s objective is to aid in identifying failure modes and systematically improving your application through fine-grained, stack-agnostic instrumentation and comprehensive evaluations.
Core Concepts
TruLens encompasses several core concepts essential to enhancing your application:
- Feedback Functions: These functions help evaluate how your system performs by analyzing the feedback provided by the application.
- The RAG Triad: This concept aids in understanding how information retrieval is conducted within your application.
- Honest, Harmless, and Helpful Evaluations: Ensures that your application remains ethical and useful through systematic evaluations.
You can find more details on these concepts by visiting their respective sections on the TruLens website.
TruLens in the Development Workflow
TruLens seamlessly integrates into your development workflow:
- Prototype Building: Begin by building your first prototype.
- Instrumentation and Logging: Connect to instrumentation and logging mechanisms provided by TruLens.
- Decide on Feedbacks: Determine the types of feedback necessary for your application.
- Specify Feedback with TruLens: Run specified feedback alongside your app using TruLens.
TruLens provides an easy-to-use interface, aiding in the iteration and comparison of different versions of your app, thus ensuring continuous improvement.
Installation and Setup
Getting started with TruLens is straightforward. Install the TruLens package from PyPI using the command:
pip install trulens
Quick Usage
TruLens offers a guided walkthrough demonstrating how to instrument and evaluate a retrieval-augmented generation (RAG) model built from scratch. This walkthrough is available for exploration through Google Colab.
Contributing & Community
TruLens warmly invites community contributions. If you are interested in contributing, you may refer to the contributing guide for more information. The best way to support TruLens is by giving it a star on GitHub and joining the active Slack community.
By offering meaningful feedback loops and evaluation strategies, TruLens is at the forefront of empowering developers to create more robust, ethical, and reliable LLM applications.