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Evaluation criteria and test suites
237 documents availableā **Technical SEO Audit**
The Intelligent Research Assistant is a comprehensive AI-powered research platform built with a modular, scalable architecture. It combines document processing, vector search, multi-agent orchestration, fine-tuning capabilities, RLHF (Reinforcement Learning from Human Feedback), and enterprise-grade security into a unified system.
How do we evaluate our RAG system?
**Document Version:** 1.0
title: Evaluating and Testing LLM Applications
title: "Data-Driven RAG Evaluation: Testing Qdrant Apps with Relari AI"
This document describes how Agent Invest measures quality, detects regressions, and ensures safety. The system uses three evaluation layers: online scoring (every production run), offline evaluation (golden dataset), and guardrails (real-time safety checks).
url: "https://qdrant.tech/blog/qdrant-relari/"
