Dense Slides: GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

Source Video

GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

Method

This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

Cropped Visible Slides

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.97
Text source: agent_vision.
OCR decision: ready — Dense screenshot of a web search homepage with small text.

Slide text:

The Evolution of... Web Search

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.95
Text source: advanced OCR rapidocr-live/full.
OCR decision: ready — Screenshot-heavy slide with small UI text and search results.

Slide text:

AIE Moscone Center:Homepage FeredEEMwESCog2024/gDesgA SEMICONwESTCog2024/FgmDeigAuto Events

Floor Plans Mosc ore North.4 50 MosconeCenter

Explore the Neighborhood Nearty Nngroon 00d Aree A299ct

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Who owns the Moscone Center? 60:8157m Coses11PM

erved2024

Microsoft smol aws

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.99
Text source: agent_vision.

Slide text:

Q: What...?

User

Your Application

Embedding Generator

Q

V

Vector search for V

Relevant Documents and Context

Knowledge Graph With Vector Support

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.95
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Dense quote, diagram, and QR code are better handled by OCR.

Slide text:

amamo Accuracy

AIE users is higher accuracy. The clearest driver of GraphRAG adoption amongst

Across all metrics, our method

demonstrates consistent

in MRR and by 0.32 in BLEU improvements. Notably, it surpasses the baseline by 77.6%

question-answering accuracy? retrieval efficacy and score,substantiating its superior

orved2023 Microsoft smolo aws

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.95
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Dense quote card and blog screenshot are OCR-suitable.

Slide text:

OHigher users is higher accuracy. Accuracy The clearest driverof GraphRAG adoption amongst Microsoft Research Blog 'By combining LLM-generated GraphRAG: Unlocking LLM discovery on narrative private data tro tt may pusor

knowledge graphs and graph

machine learning, GraphRAG

enables us to answer important

classes of questions that we cannot

attempt with baseline RAG alone.

Microsoft

23. Neo4j Inc, All rlghts reserved 2023

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: agent_vision.

Slide text:

Easier Development*

The second reason we hear people choose GraphRAG over vector-only RAG is easier development... once they've pushed through the initial learning curve.

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.99
Text source: agent_vision.
OCR decision: ready — Diagram-heavy slide with small dense labels and a text table; OCR will read the body more reliably than manual transcription.

Slide text:

② Easier Development: Why?

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.97
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Product UI screenshot with many small labels, rows, and buttons; OCR is appropriate for the table and controls.

Slide text:

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Gcs

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Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.89
Text source: none.

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.93
Text source: none.

Classification audit: raw/sources/slide-ai-classification/dense/knDDGYHnnSI/audit.json