A Observability platform for Rag application, supports built in langchain and llamaindex integration
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Updated
Jun 28, 2026 - Python
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rag-observability
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Viewed README.md:1-169 Viewed rag_failure_diagnostics_clinic.py:1-302 The "RAG Failure Diagnostics Clinic" is a framework-agnostic tool designed to triage and classify LLM + RAG pipeline failures into 12 reusable patterns. It analyzes bug descriptions to provide clear reasoning and suggest minimal structural fixes for resolving complex RAG incid
machinelearning ai-engineering llmops incident-triage rag-observability llm-failure-patterns framework-agnostic-design structural-remediation
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Mar 12, 2026 - Python
Hardened RAG pipeline with Llama 3.2 (3B) & Arize Phoenix. Features 4-bit Unsloth optimization, OpenTelemetry auditing, and a KV-cache stability patch for T4 GPUs. P99 Latency: 19.2s.
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Mar 31, 2026 - Python
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