Showing 1-20 of 68 projects
AI pipelines for RAG, enterprise search, and document indexing with real-time data sync
Python SDK and Proxy Server for calling 100+ LLM APIs with cost tracking and guardrails
Composio provides AI agents and LLMs with 100+ integrations via function calling
MLflow is an open-source platform for building, tracking, and deploying AI/ML models with end-to-end observability and evaluation tools.
Comprehensive LLM engineering and application resources with training, inference, compression, and deployment guides
LLM engineering platform for observability, evaluation, and prompt management
Build and deploy AI services with cloud-native stack
A comprehensive library for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows.
A developer-focused open-source framework for building and managing autonomous AI agents.
A Python SDK for agent AI observability, monitoring, and evaluation with features like tracing, debugging, and analytics.
A Python library that helps supercharge the evaluation of large language model applications.
Deploy open-source LLMs as OpenAI-compatible API endpoints using BentoML's model serving framework.
An open LLM devops platform for building next-gen enterprise AI applications with powerful features like GenAI workflow, RAG, Agent, and model management.
Open-source stack for industrial-grade LLM applications, including LLM gateway, observability, optimization, evaluation, and experimentation.
A framework for testing and evaluating large language models, prompts, and AI agents for security and performance.
A fast, integrated AI Gateway to route to 200+ LLMs and 50+ AI Guardrails with a friendly API.
Build, manage and deploy AI/ML systems with Metaflow
AI observability and evaluation tooling for developers building with large language models and AI agents.
BentoML is an easy-to-use framework for building and deploying production-ready machine learning models as APIs.
Evidently is an open-source ML and LLM observability framework to evaluate, test, and monitor AI-powered systems.
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