1. News
  2. Video
  3. I Engineered Copilot for 3.5 Million Pages: The Epstein Files Challenge

I Engineered Copilot for 3.5 Million Pages: The Epstein Files Challenge

I Engineered Copilot for 3.5 Million Pages: The Epstein Files Challenge

Scaling AI to millions of documents isn’t as simple as plugging in a tool and hitting search. Learn how the technical infrastructure behind the Epstein files case handles 3.5 million pages with total accuracy, security, and performance. This episode dives deep into the engineering required to turn massive datasets into actionable insights using Microsoft 365 Copilot and advanced retrieval architectures.

🚀 What You Will Learn

We move beyond the marketing hype to discuss the working systems that manage noise-to-signal ratios at scale. You will learn why standard retrieval-augmented generation (RAG) often breaks when facing millions of pages and how to implement a three-tier selective activation model to optimize costs. From recursive structure-aware chunking to permission-aware retrieval, we cover the essential components for enterprise-grade AI.

Key topics include the multimodal ingestion pipeline for video and images, the role of agentic routers in query decomposition, and the importance of knowledge graphs for entity extraction. Whether you are a technical lead or an enterprise executive, these insights will help you build a more reliable, secure, and cost-effective AI strategy for the modern workplace.

📍 Chapters

0:00 Intro and the Epstein Files Case
4:15 The Data Blindness Problem
9:30 Why Standard RAG Collapses at Scale
14:45 The Selective Activation Model
19:15 Tiered Architecture for Massive Data
24:30 Recursive Structure Aware Chunking
29:45 The Multimodal Ingestion Pipeline
34:15 Processing Video and Images for AI
39:30 Entity Extraction and Knowledge Graphs
44:45 The Agentic Router and Query Decomposition
50:15 Hybrid Retrieval Strategy (BM25 vs Vector)
55:45 Permission Aware Retrieval and Security
1:01:15 Chunking Performance Benchmarks
1:06:45 Latency and Time to First Token (TTFT)
1:11:15 Metadata Enrichment and Accuracy
1:16:45 Governance and Compliance at Scale
1:21:30 Future Trends in Enterprise AI
1:26:09 Summary and Final Thoughts

🔗 Connect With Us

If you want deep technical insights on Microsoft 365, Copilot, and the modern workplace, make sure to subscribe to the M365 FM podcast. Follow us on LinkedIn to share the challenges you are facing and stay updated on the next generation of enterprise AI.

#M365 #Copilot #EnterpriseAI #RAG #Microsoft365

0
joy
Joy
0
cong_
Cong.
0
loved
Loved
0
surprised
Surprised
0
unliked
Unliked
0
mad
Mad
I Engineered Copilot for 3.5 Million Pages: The Epstein Files Challenge
Comment

Your email address will not be published. Required fields are marked *

Login

To enjoy KOMBI.ID privileges, log in or create an account now, and it's completely free!

Follow Us