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Laminar AIThe platform to ship reliable LLM agents 10x faster.

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.

2024-07-18
Active
Early
S24
3
B2B
United States of AmericaAmerica / Canada
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More About Laminar AI

Laminar AI Docs: Ship Reliable LLM Agents 10x Faster

Introduction

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.

Key Features

  • Orchestration: Build LLM agents as dynamic graphs using a visual programming interface. Export graphs to zero-abstraction code or host them on scalable infrastructure.
  • RAG Out of the Box: Fully-managed semantic search over datasets, including chunking, embeddings, and vector database management.
  • Python Code Block: Write custom Python code with access to all standard libraries for data transformation.
  • LLM Providers: Effortlessly switch between models like GPT-4, Claude, Llama3, and more.
  • Real-time Collaboration: Collaborate seamlessly with a Figma-like experience for building and experimenting with pipelines.
  • Local Code Interfacing: Interface graph logic with local code execution, allowing local function calls between node executions.
  • Remote Debugger UI: Build and debug complex agents with a user-friendly UI.
  • Deployment: Deploy on scalable Rust infrastructure with custom async engine execution.
  • Observability: Monitor every trace with detailed logs and minimal latency overhead.
  • Evaluations: Run custom evaluations on large datasets in parallel with flexible evaluator pipelines.

Use Cases

  • Data Science Teams: Rapidly prototype and deploy machine learning models.
  • Research Institutions: Conduct large-scale experiments with various LLMs.
  • Enterprise Solutions: Integrate LLM capabilities into business applications for enhanced automation and insights.
  • Educational Platforms: Develop and deploy educational tools powered by LLMs.
  • Custom Software Development: Build tailored solutions for clients using advanced LLM functionalities.

Pricing

Laminar AI Docs offers a flexible pricing model to cater to different needs:

  • Free Tier: Start for free with basic features and limited usage.
  • Pro Tier: Advanced features and higher usage limits for growing teams.
  • Enterprise Tier: Custom solutions and dedicated support for large organizations.

Teams

Laminar AI Docs is designed to support collaborative efforts, making it ideal for teams:

  • Data Scientists: Collaborate on building and deploying models.
  • Developers: Integrate LLM functionalities into applications seamlessly.
  • Researchers: Share and experiment with complex pipelines.
  • Business Analysts: Utilize LLMs for data-driven decision-making.

Start leveraging the power of Laminar AI Docs to accelerate your LLM agent development and deployment today.