Reranking

Concept

Reranking is a retrieval step in which a second model rescores the top candidates returned by a search so the most relevant results are passed on, for example to a language model in a RAG pipeline.

Title graphic: Reranking (Concept)

Type	Concept

Key points about Reranking

Semantic reranking prioritizes the most relevant answers, and hybrid search helps with internal jargon. · Improve Microsoft Copilot Accuracy Beyond…

Episodes about Reranking

Scaling Microsoft Copilot to 35 Million Pages

2026-06-07 · Video on YouTube

In this episode, Mirko Peters explores one of the most ambitious experiments in enterprise AI: engineering Microsoft Copilot to analyze and reason across more than 35 million pages of highly complex and interconnected information, inspired by the scale and…

HNSW vs DiskANN for Vector Search in Azure AI Search

2026-06-08 · Video on YouTube

The explosion of AI-powered applications has created a new challenge: how do you efficiently search through billions of vector embeddings without exploding infrastructure costs? In this episode, we explore the “billion-vector problem” and compare two leading…

Fix Common Azure AI Foundry Project Failures

2025-11-03 · Video on YouTube

In this episode we walk through what really happens when Azure AI Foundry doesn’t behave the way you expect, especially when the Agent Service or deployments start acting up. Azure AI Foundry is supposed to feel smooth, almost invisible, tying together OpenAI…

Improve Microsoft Copilot Accuracy Beyond Vector Search

2026-05-01 · Video on YouTube

This episode explains that vector search on its own is not a complete or reliable strategy for building accurate AI systems like Copilot. While many organizations rely on embeddings and vector databases to retrieve information, this approach often leads to…

Timeline of episodes about Reranking

Articles about Reranking (1)

Why Pure Vector Search Fails Enterprise AI (And How to Fix It)
2026-08-26 · Mirko Peters
When you start deploying generative AI across your organization, you quickly realize that standard Retrieval-Augmented Generation (RAG) setups lean heavily on pure …

Frequently asked questions

What does semantic reranking do?

Semantic reranking reorders retrieved results so the most relevant answers come first. Combined with hybrid retrieval, it helps the system pick the right content and understand internal jargon that pure embeddings may misread. · From the episode: Improve Microsoft Copilot Accuracy Beyond…

Glossary

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Sources

Feed for this topic (RSS): entity/reranking/feed.xml
M365.FM episodes on this topic: 4
Articles on this topic: 1

Maintained by Mirko Peters (Microsoft MVP) · Last updated: 2026-11-03