Llmops
Showing 18 of 18 projects
Ready-to-deploy Docker templates for building real-time RAG, AI pipelines, and enterprise search applications with live data sync.
🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
A CLI and library for evaluating, red-teaming, and comparing LLM prompts, agents, and RAGs with simple declarative configs.
An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows with tracing and automated evaluations.
An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows.
An open-source LLMOps platform unifying gateway, observability, evaluation, optimization, and experimentation for industrial-grade LLM applications.
A Rust library for building scalable, modular, and ergonomic LLM-powered applications.
A Python library for building production-ready model inference APIs, job queues, and multi-model serving systems for AI applications.
An AI-native proxy and data plane for agentic applications, providing built-in orchestration, safety, observability, and smart LLM routing.
An open-source MLOps/LLMOps suite for experiment management, data management, pipelines, orchestration, scheduling, and model serving.
An open-source MLOps platform for building, orchestrating, and deploying production AI pipelines and agents.
A curated collection of resources for building, training, serving, and optimizing production-grade Large Language Model applications.
An open-source LLMOps platform for prompt management, evaluation, and observability to build reliable LLM applications faster.
An MLOps framework to package, deploy, monitor, and manage thousands of production machine learning models on Kubernetes.
A free course teaching how to design, train, and deploy a production-ready real-time financial advisor LLM system using RAG and LLMOps.
An open-source platform for AI engineering with OpenTelemetry-native LLM observability, GPU monitoring, guardrails, evaluations, and prompt management.
A command-line tool for creating reproducible, container-based development environments for AI/ML workflows.
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