Laminar

An open-source tool for monitoring and analyzing AI agents/RAG applications.

CommonProductProductivityAI MonitoringData Analysis

Laminar is an open-source monitoring and analysis tool designed specifically for AI agents and RAG applications, offering functionalities similar to DataDog and PostHog. It utilizes OpenTelemetry for automatic monitoring and supports rapid, reliable data collection and analysis. Written in Rust, Laminar features high performance and reliability, suitable for large-scale data processing. By providing detailed tracing, events, and analysis capabilities, it helps developers and companies optimize the performance of AI applications and enhance user experiences.

Automatic monitoring based on OpenTelemetry
enabling automatic tracing of LLM/vector database calls with just two lines of code.
Supports semantic event analysis
capable of handling background job queues in LLM pipelines and converting outputs into traceable metrics.
Built using a modern tech stack
including Rust
RabbitMQ
Postgres
and Clickhouse
ensuring high performance and scalability.

\Laminar's target audience consists of AI application developers and companies
particularly teams that need to monitor and analyze the performance of their AI agents and RAG applications. It is suitable for scenarios that require rapid and reliable collection and analysis of large data sets
helping them optimize application performance
enhance user experience
and make more informed business decisions.\

Developers used Laminar to monitor the performance of their AI chatbots
promptly identifying and resolving performance bottlenecks.
Companies analyzed user behavior through Laminar
optimizing the accuracy of their AI recommendation systems.
Data scientists utilized Laminar to trace and analyze the training processes of large-scale machine learning models

Visit Laminar's GitHub page to learn about the project details and documentation.
Use Docker Compose to launch the local version
following the steps provided in the documentation.
Integrate Laminar into your project by adding a few lines of code to automatically monitor LLM calls.
Manually track specific function inputs and outputs using the provided decorators.

Visit

Laminar Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

Laminar Visit Trend

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