github.com• Sep 4, 2024• 1 min read
Show HN: Laminar – Open-Source DataDog + PostHog for LLM Apps, Built in RustHey HN, we’re Robert, Din and Temirlan from Laminar (https://www.lmnr.ai), an open-source observability and analytics platform for complex LLM apps. It’s designed to be fast, reliable, and scalable. The stack is RabbitMQ for message queues, Postgres for storage, Clickhouse for analytics, Qdrant for semantic search - all powered by Rust.How is Laminar different from the swarm of other “LLM observability” platforms?On the observability part, we’re focused on handling full execution traces, not just LLM calls. We built a Rust ingestor for OpenTelemetry (Otel) spans with GenAI semantic conventions. As LLM apps get more complex (think Agents with hundreds of LLM and function calls, or complex RAG pipelines), full tracing is critical. With Otel spans, we can: 1. Cover the entire execution trace. 2. Keep the platform future-proof 3. Leverage an amazing OpenLLMetry (https://github.com/traceloop/openllmetry), open-source package for span production.The key difference is that we tie text analyti