Chunking

Concept

Chunking is the practice of splitting documents into smaller, coherent pieces before embedding and indexing them for retrieval, which strongly influences the precision of RAG answers.

Title graphic: Chunking (Concept)

Type	Concept

Key points about Chunking

Clear communication between agents, chunking for document processing and strong governance support regulated industries. · Scaling Copilot Studio with Isha Kapoor [MVP]
The core architecture includes document ingestion, chunking strategies, vector embeddings, semantic search and AI responses. · How to Build Private RAG with SharePoint and n8n

Episodes about Chunking

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…

How to Run Local Llama on SharePoint Files Securely

2026-06-18 · Video on YouTube

Artificial Intelligence is transforming the way organizations manage knowledge, documents, and collaboration. Yet as companies rush to adopt AI assistants and large language models, one question continues to dominate every conversation: how can you benefit…

Build an Agentic Workforce with Microsoft Copilot in 30…

2026-02-09 · Video on YouTube

This episode of the M365.FM Podcast (titled “How to Build a High-Performance Agentic Workforce in 30 Days”) explains why most enterprise AI agent programs fail quickly, and what it really takes to build an AI-driven workforce that delivers measurable business…

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…

Microsoft Cowork IQ Knowledge Graph Architecture

2026-05-29 · Video on YouTube

In this episode of the Microsoft 365-focused podcast from m365.fm, the discussion explores how organizations can implement intelligent knowledge graph architectures to support modern hybrid work environments. The episode examines how Microsoft technologies…

Scaling Copilot Studio with Isha Kapoor [MVP]

2026-06-01 · Video on YouTube

In this episode of the M365.fm podcast, Mirko Peters sits down with Microsoft MVP Isha Kapoor to explore what it really takes to scale Microsoft Copilot Studio in large enterprise environments. The conversation moves beyond simple chatbot scenarios and…

How to Build Private RAG with SharePoint and n8n

2026-06-06 · Video on YouTube

In this episode of M365.fm, Mirko Peters explores how organizations can build a secure and private Retrieval-Augmented Generation (RAG) platform using SharePoint as the knowledge source and n8n as the orchestration layer. The discussion focuses on moving…

Timeline of episodes about Chunking

Articles about Chunking (5)

Scaling Microsoft Copilot to 35 Million Pages: Lessons from the Epstein Files
2026-08-26 · Mirko Peters
Welcome back to the podcast blog! Today, we are expanding on one of our most fascinating episodes yet. When data scales into the millions, traditional tools inevita…
Scaling Microsoft Copilot for Massive Datasets: Lessons from 3.5 Million Pages
2026-08-26 · Mirko Peters
When you are tasked with processing massive amounts of unstructured data, traditional search tools quickly hit a brick wall. In modern enterprise environments and c…
Mastering Modular Architecture in Microsoft Copilot Studio
2026-08-13 · Mirko Peters
Welcome back to the blog companion for our podcast! When organizations begin their journey into enterprise artificial intelligence, they frequently hit a ceiling wh…
The Stateless RAG Trap: Why Query-Time AI Architecture Falls Short
2026-08-13 · Mirko Peters
Welcome back to the blog! If you have been following along with our podcast discussions on enterprise artificial intelligence, you know we spend a lot of time looki…
Mastering Enterprise RAG: Why Metadata is the Secret to Better AI Answers
2026-08-13 · Mirko Peters
Welcome back to the blog! If you have ever built a quick proof-of-concept AI chatbot, you know how magical it feels. You upload a few PDFs, point a vector database …

Frequently asked questions

What is chunking used for?

Chunking in document processing improves search accuracy and speed with large volumes of data. Splitting content into smaller pieces helps the agent retrieve the relevant part instead of whole documents. · From the episode: Scaling Copilot Studio with Isha Kapoor [MVP]

Glossary

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Sources

Feed for this topic (RSS): entity/chunking/feed.xml
M365.FM episodes on this topic: 7
Articles on this topic: 5

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