Laminar is a platform that enables AI developers to rapidly iterate on LLM applications to ensure reliability. We do this by providing: a GUI to build LLM applications as dynamic graphs with seamless local code interfacing. These graph pipelines can be directly hosted on our infrastructure and exposed as scalable API endpoints. an open-source package to generate abstraction-free code from these graphs directly into developers' codebases. a state-of-the art evaluation platform that lets users build fast and custom evaluators without managing evaluation infrastructure themselves. a data management infrastructure with built-in support for vector search over datasets and files. Data can be easily ingested into LLMs and LLMs can write to the datasets directly, creating a self-improving data flywheel. a low latency logging and observability infrastructure. Laminar combines orchestration, evaluations, data, and observability in a single platform to empower AI developers to ship reliable LLM applications 10x faster.
Laminar AI Docs is a comprehensive platform designed to streamline the orchestration, deployment, observability, and evaluation of LLM (Large Language Model) agents. With Laminar, you can build, experiment, and deploy complex LLM agents efficiently, reducing development time and enhancing collaboration.
Laminar AI Docs offers a flexible pricing model to cater to different needs:
Laminar AI Docs is designed to support collaborative efforts, making it ideal for teams:
Start leveraging the power of Laminar AI Docs to accelerate your LLM agent development and deployment today.
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