Tag: retrieval-augmented generation
Beyond Log Search: What We Learned Building a RAG-Based Incident Diagnosis System
Abhimanyu Garg | | AI for SRE, AI hallucinations, AI incident diagnosis, AIOps, devops, devops automation, FAISS, incident management, incident remediation, incident response, knowledge management, knowledge retrieval, LLM grounding, LLM incident response, observability, postmortems, production AI, RAG AIOps, re-ranking, retrieval-augmented generation, root cause analysis, Runbooks, semantic search, SREA RAG-based AIOps framework can cut incident diagnosis time by grounding LLM reasoning in real runbooks, tickets and postmortems, improving root-cause accuracy while giving SREs source-backed answers they can trust ...
Production-Grade AI Eval Systems. What I Learned Putting LLMs on Call
Anjaiah Methuku | | AI evals, AI guardrails, AI observability, AI quality monitoring, AI reliability engineering, AI SRE, AI testing, answer relevance, CI evals, context precision, context recall, faithfulness, hallucination detection, human-in-the-loop, LLM evaluation, LLM judges, LLM reliability, model monitoring, production AI, production-grade AI, RAG evaluation, RAG metrics, regression testing, retrieval-augmented generationProduction-grade AI reliability requires more than uptime and latency. A layered eval system helps teams detect hallucinations, RAG failures and quality regressions before customers do ...
AI-Generated Code Is Cheap But the Context Infrastructure Behind It Is Not
Saqib Jan | | AI coding, context engineering, Enterprise AI, RAG, retrieval-augmented generation, vector databasesThe cost curve for generating code with AI has moved in one direction, and it has moved fast. What used to require a senior engineer's full attention for an afternoon can now ...
Empromptu Unveils Vibecoding Platform for Building Enterprise-Class Apps
Mike Vizard | | AI app scalability, AI application development, AI coding platform, AI coding tools, AI developer workflows, AI DevOps, AI output controls, AI response optimization, AI vs low-code platforms, enterprise AI applications, enterprise software development, explainable AI, LLMOps, RAG, retrieval-augmented generation, SOC-2 compliant AI, vibecodingEmpromptu has launched its AI coding platform for building enterprise-class applications, featuring RAG, LLMOps, explainability, and SOC-2 compliance. Designed for scalability, accuracy, and predictable pricing, it aims to outperform vibecoding tools and ...
