AI Infrastructure
The RAG Triad & Hallucination Metrics: Context Relevance, Groundedness & Faithfulness
Measure and eliminate RAG hallucinations with TruLens metrics: evaluate query-to-context, context-to-answer, and answer relevance.
The Three Core RAG Triad Metrics
1. Context Relevance: Does retrieved context actually address the user query? 2. Groundedness / Faithfulness: Is the generated answer 100% supported by retrieved facts? 3. Answer Relevance: Does the generated response directly answer the prompt without evasiveness?
Related Technical Guides
Deepen your understanding with these closely related production architectures and tutorials:
Llama 4 MoE & DeepSeek-R1: 24GB GPU Hardware Limits, vLLM PagedAttention & think Filtering
Deploy DeepSeek-R1 distilled weights and evaluate Meta Llama 4 Scout/Maverick MoE hardware realities on single 24GB GPUs with vLLM and FastAPI.
DeepSeek-R1 & Open-Source Reasoning: Self-Hosting with Ollama, vLLM, and Enterprise GPU Deployment
Deploy DeepSeek-R1 and distilled open-weight reasoning models locally with vLLM or Ollama for zero-API-cost private reasoning engines and air-gapped data privacy.
Multi-Model Management with LiteLLM: Unified APIs, Automatic Fallback & Load Balancing
Combine OpenAI, Anthropic, Gemini, Bedrock, and local models under a single standardized interface with automatic retry and rate-limit routing.