AI Observability And Evaluation
AI Observability EvaluationEvaluation, tracing, prompt testing, and monitoring tools for LLM applications.
Skill · Needs verification
Testing LLM quality, retrieval quality, task completion, and regression behavior.
Evaluation, tracing, prompt testing, and monitoring tools for LLM applications.
Tools for documentation, code search, testing, review, observability, and engineering workflow acceleration.
Open-source and developer-focused resources for finance data, backtesting, analytics, and trading research.
Agent frameworks and projects for building autonomous or semi-autonomous software workflows.
Retrieval-augmented generation frameworks, vector databases, and data tooling for knowledge-connected LLM apps.
Open-source and locally controllable AI tools for builders who need privacy, portability, or reduced vendor lock-in.
Open-source observability and evaluation tool for LLM and ML applications.
Evaluation framework for RAG and LLM application quality checks.