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W&B Weave is an observability and evaluation platform that helps you track, evaluate, and improve your LLM application. With Weave, you can:

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Get started

The following docs guide you through the basics of how to use Weave’s suite of tools.

Quickstart: Track LLM inputs & outputs

Start by tracing a basic call to an LLM and reviewing the data in your W&B account.

Get started evaluating your app

Learn how to build an evaluation pipeline using Weave scorers to test and track your application’s performance.

Evaluate a RAG application

Build and evaluate RAG applications using Weave with LLM judges to measure retrieval quality.

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Install Weave

W&B Weave provides Python and TypeScript libraries. To install the Weave library, run the following command: 
pip install weave
To start using the Weave library, create a Weights & Biases (W&B) account and an API key at User Settings. The API key allows you to authenticate to your W&B account and start sending data to it.