Showing 21-40 of 68 projects
Open-source observability tool for GenAI and LLM applications, based on OpenTelemetry
A Rust library for building modular and scalable Large Language Model (LLM) applications.
Production-ready templates to quickly ship AI agents to Google Cloud with built-in CI/CD, evaluation, and observability.
Delivers infrastructure for agentic apps with AI-native proxy and data plane.
An awesome list of best LLMOps tools for developers building with AI tools and language models.
Cozeloop is an open-source platform that provides full-lifecycle management for AI agent development, debugging, and monitoring.
Superduper is an end-to-end framework for building custom AI applications and agents using Python, PyTorch, and Transformers.
ZenML is a production-ready AI platform that provides a unified framework for building, deploying, and managing ML pipelines and agents.
Open-source evaluation and testing library for LLM Agents
An open-source cloud-native AI platform for ML/DL workflows, model serving, and distributed training.
A practical guide for LLM engineers, covering fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices.
A RAG (Retrieval Augmented Generation) framework for building modular, open-source AI applications by TrueFoundry.
An open-source course to build a production-ready LLM & RAG system using best practices in LLMOps
An open-source LLMOps platform for prompt playground, prompt management, LLM evaluation, and LLM observability.
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
An open-source project that helps developers learn about large language models (LLMs), LLM operations, and vector databases for building real-time financial AI assistants.
An open-source, developer-first LLMOps platform to streamline prompt design, version management, delivery, and more.
AGiXT is a comprehensive AI agent automation platform that streamlines AI integration and task orchestration.
A data platform for context engineering, enabling agents to store, observe, and learn from context data.
An open platform for managing, monitoring, and optimizing large language models (LLMs) and AI workflows.
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