W&B Weave ↗

Documentation Index#

Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt Use this file to discover all available pages before exploring further.

Track, test, and improve language model apps with W&B Weave

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

• Observe and debug your LLM application
• Evaluate your application’s responses using LLM judges and custom scorers

Get started#

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

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

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

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

Install Weave#

W&B Weave provides Python and TypeScript libraries. To install the Weave library, run the following command:

    pip install weave
    ```
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```bash
    pnpm install weave
    ```
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To start using the Weave library, create a [Weights & Biases (W\&B) account](https://wandb.ai) and an [API key at User Settings](https://wandb.ai/settings). The API key allows you to authenticate to your W\&B account and start sending data to it.