AI engineering
from first principles

Laminar is an open-source all-in-one platform for engineering best-in-class LLM products.

Data governs the quality of your LLM application.
Laminar helps you collect it, understand it, and use it.

Traces

When you trace your LLM application, you get a clear picture of every step of execution and simultaneously collect invaluable data. You can use it to set up better evaluations, as dynamic few-shot examples, and for fine-tuning.

Zero-overhead observability

All traces are sent in the background via gRPC with minimal overhead. Tracing of text and image models is supported, audio models are coming soon.

Start tracing

Online evaluations

You can setup LLM-as-a-judge or Python script evaluators to run on each received span. Evaluators label spans, which is more scalable than human labeling, and especially helpful for smaller teams.

Setup online evaluations

Datasets

You can build datasets from your traces, and use them in evaluations, fine-tuning and prompt engineering.

Create a dataset

Prompt chain management

Laminar lets you go beyond a single prompt. You can build and host complex chains, including mixtures of agents or self-reflecting LLM pipelines.

Build LLM chains

Fully open-source

Laminar is fully open-source and easy to self-host. Get started with just a few commands.

Learn about self-hosting