Stop relying on subjective spot-checks. How to measure the RAG Triad—Context Relevance, Groundedness, and Answer Relevance—in your automated CI/CD pipelines.
Without quantitative benchmarks, engineering teams are blind to model regressions. We evaluate every RAG deployment using three orthogonal vectors:
In regulated domains like healthcare and finance, production systems should maintain a minimum faithfulness score of 0.96 (96%), backed by automated fallbacks for low-confidence queries.
Distributed systems engineer specializing in deterministic state machines, asynchronous event coordination, and autonomous multi-agent networks.
Our systems engineers deploy zero-egress, in-VPC software with 100% IP transfer and guaranteed US/EU synchronous working overlap.
Should your enterprise fine-tune an open-source LLM or build a Retrieval-Augmented Generation pipeline? An architectural decision framework factoring data velocity, cost, and hallucination risk.
Step-by-step engineering blueprint for deploying a private vector mesh over confidential enterprise documents with strict role-based access control and zero cloud data leakage.
Practical breakdowns of zero-egress RAG architectures, deterministic multi-agent swarms, and enterprise Go microservices.
One practical email per month. No marketing fluff. Unsubscribe at any time.