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Data-Driven RAG Evaluation: Testing Qdrant Apps with Relari AI

url: "https://qdrant.tech/blog/qdrant-relari/"

Kohnnn

RAG.md

Metrics

This document outlines the evaluation metrics available for assessing the performance of Retrieval Augmented Generation (RAG) systems, particularly focusing on the retrieval and generation components. The implementations can be found in `datapizza/evaluation/metrics.py`.

airageval

alessiogandelli

MONITORING.md

🧠 Big Picture

18/75 Question A digital content company is building a generative AI (GenAI) application that summarizes news articles. The application needs to route requests to different LLMs based on language and content types. For regulatory compliance, certain content types must use specific model providers. A GenAI developer must create a solution that can switch between model providers without code changes. The model providers include Amazon Bedrock and third-party APIs. The solution must securely store

emilyg888

Topic: Evaluation & Benchmarking

Evaluation is widely considered the **hardest unsolved problem** in LLM engineering. Unlike traditional software where a unit test returns pass/fail, LLM outputs are probabilistic, open-ended, and context-dependent -- there is no single "correct" answer for most tasks. Yet every production decision depends on evaluation: which model to deploy, whether a prompt change improved quality, whether a RAG pipeline is hallucinating less after a reranker upgrade. By mid-2025, benchmark saturation (fronti

linhvuquach

RAG.md

Project Memory

**Last Updated:** 2026-01-29 22:00

shah-data-scientist

Using Performance Metrics to Evaluate RAG Systems

title: "Data-Driven RAG Evaluation: Testing Qdrant Apps with Relari AI"

AlexisBalayre

Day 20: Evaluation & Benchmarks 📏

root((Day 20: Evaluation & Benchmarks 📏))

Ravikiran-Bhonagiri

📈 Trading RAG Mentor

> **Personal AI Trading Mentor** — A custom Retrieval-Augmented Generation (RAG) system built on momentum & price action video transcripts. Ask questions and get answers grounded exclusively in your own trading knowledge base.

sudhakarbadugu

AWS Certified Generative AI Developer – Professional (AIP-C01)

These are my personal study notes for the **AWS Certified Generative AI Developer – Professional (AIP-C01)** exam.

vicsz

IR-Copilot — Incident Response AI Assistant

![Static Badge](https://img.shields.io/badge/automated%20tests-135-blue)

giladresisi

SKILL.md

LLM Evaluation

LLM output evaluation — automated metrics, LLM-as-judge, A/B testing, regression testing. Use when measuring LLM output quality, comparing prompt or model versions, building an automated eval pipeline, setting up regression tests for prompt changes, or evaluating RAG systems and bias/safety.

projectious-work

Domain 5: Testing, Validation, and Troubleshooting

**AIP-C01 Study Guide — Dr. Priya Ramanathan**

rahulbhavani-il

GenAI Benchmarks & Evaluation — Product-Based Companies

Understanding how to **benchmark, evaluate, and compare LLMs** is essential for roles at Google, OpenAI, Anthropic, Cohere, and AI research teams. This file covers the most important benchmarks, evaluation methodologies, and how to build custom evaluation harnesses.

CodeWithDhruvX

Understanding the Sources of Uncertainty - and Why Our Evals are Biased

Part 4 of *Iterating in the Dark:

aiagentrag

reliableai

Evaluation Scripts

The `create_test_set.py` script helps you interactively build a golden test dataset for evaluating the retrieval system.

aieval

bennettck

AI Tester Interview Preparation Guide

1. [Core Competencies Overview](#core-competencies)

aillmprompt

k21academyuk

RUBRIC.md

Decodable Story Quality Rubric

Use this checklist when writing or reviewing decodable readers. The phonics constraints are hard enough—don't let the story suffer too.

JDerekLomas

RUBRIC.md

![](https://ga-dash.s3.amazonaws.com/production/assets/logo-9f88ae6c9c3871690e33280fcf557f33.png) Project 3: Web APIs & NLP

In week four we've learned about a few different classifiers. In week five we learned about webscraping, APIs, and Natural Language Processing (NLP). This project will put those skills to the test.

dmartorano