GraphRAG in Action with Anisha Latchman, on Mr. Maeda's Cozy AI Kitchen
In this episode, we welcome Chef Anisha Latchman to the AI kitchen to cook up something special: GraphRAG. Anisha, a college senior and security intern, walks us through how GraphRAG—an open-source project from Microsoft—is transforming how we search and analyze security data using graphs and embeddings.
From parsing emails to uncovering hidden relationships and themes, this episode is a delicious blend of technical insight and practical demo. Whether you're new to Retrieval-Augmented Generation or curious about graph-based search, this one's for you.
Chapters:
00:00 - Welcome to the Cozy AI …
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Chapters (19)
Welcome to the Cozy AI Kitchen
0:20
Meet Chef Anisha Latchman
0:33
What is GraphRAG and Why It Matters
1:08
GraphRAG Setup: Inputs and Configuration
1:36
Emails as Input Data
2:02
Running the GraphRAG API
2:46
Indexing and Output Files Explained
3:00
Understanding Nodes and Relationships
3:33
Weighted Graphs and Their Importance
4:01
Querying the GraphRAG Output
4:13
Comparing Baseline RAG vs GraphRAG
5:00
Community Search and Subgraphs
5:17
Prompt Folder and Transparency
5:38
Entity Extraction Prompt Deep Dive
6:03
Prompt Engineering vs Context Engineering
6:40
Chunking Strategies in RAG
7:30
Final Query Results: GraphRAG vs Baseline
8:50
Advice for Aspiring AI Builders
9:41
Wrap-Up and Final Thoughts
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