Helicone

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.

ClickHouse is a columnar OLAP database with vector indexes (ANN via AMM, brute-force), supporting SQL queries over vectors + structured data at petabyte scale. Excels in aggregations with vectors. For analytics workloads with embeddings; faster ingestion than Postgres pgvector for big data.

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.

Cloud-native search engine for observability built on Tantivy, offering sub-second search on data stored in object storage as an open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.

Comprehensive observability solution for vector databases through Zilliz Cloud integration, providing metrics for QPS, latency, slow queries, and failure rates alongside full stack monitoring.