W&B Weave
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Are you looking for the official Weave documentation? Head over to https://weave-docs.wandb.ai/.
W&B Weave is a framework for tracking, experimenting with, evaluating, deploying, and improving LLM-based applications. Designed for flexibility and scalability, Weave supports every stage of your LLM application development workflow:
- Tracing & Monitoring: Track LLM calls and application logic to debug and analyze production systems.
- Systematic Iteration: Refine and iterate on prompts, datasets and models.
- Experimentation: Experiment with different models and prompts in the LLM Playground.
- Evaluation: Use custom or pre-built scorers alongside our comparison tools to systematically assess and enhance application performance.
- Guardrails: Protect your application with safeguards for content moderation, prompt safety, and more.
Get started with Weave
Are you new to Weave? Set up and start using Weave with the Python quickstart or TypeScript quickstart.
Advanced guides
Learn more about advanced topics:
- Integrations: Use Weave with popular LLM providers, local models, frameworks, and third-party services.
- Cookbooks: Build with Weave using Python and TypeScript. Tutorials are available as interactive notebooks.
- W&B AI Academy: Build advanced RAG systems, improve LLM prompting, fine-tune LLMs, and more.
- Weave Python SDK
- Weave TypeScript SDK
- Weave Service API
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