Datadog Vector Database Monitoring

Open-source observability for GenAI and LLM applications based on OpenTelemetry, providing AI-aware instrumentation for vector databases, LLM frameworks, and model providers.

An open-source LLM observability and evaluation platform that provides comprehensive tracking, monitoring, and evaluation capabilities for large language model applications. Designed for production AI systems with focus on debugging and performance optimization.

Open-source observability layer designed to help developers monitor and understand how their applications interact with large language models. Acts as a lightweight proxy between applications and LLM providers.

An AI observability and evaluation platform that helps monitor and evaluate LLM outputs, RAG pipelines, and data quality, with tools for detecting hallucinations and measuring retrieval quality.

Data observability platform specifically supporting vector databases including Pinecone, providing comprehensive monitoring across the five pillars of data observability.

Open standard from Anthropic for connecting AI systems to external data sources and tools. Donated to the Linux Foundation's Agentic AI Foundation in December 2025.