We'll explore how Knowledge Graphs can significantly improve Retrieval-Augmented Generation (RAG) systems. Tomaž Bratanič and Oskar Hane will share practical methods for building more accurate, traceable, and robust RAG applications by integrating structured data from KGs with traditional unstructured data retrieval.

**What You'll Learn:**

* **GraphRAG Architecture:** Integration of knowledge graphs with RAG pipelines to handle both structured queries ("How many active contracts?") and semantic retrieval
* **Hybrid Search Strategy:** Combining vector similarity, full-text search, and graph queries for comprehensive information retrieval
* **Text2Cypher Generation:** Converting natural language to Cypher queries - enabling dynamic graph querying without hardcoded templates
* **Agentic RAG Systems:** Multi-agent architectures with intelligent routing between vector search, graph queries, and specialized tools
* **Entity Resolution:** Systematic approaches to merging different representations of the same real-world entity
* **Microsoft's GraphRAG:** Community detection and hierarchical summarization for both local and global search capabilities
* **Structured Data Extraction:** Using LLMs to extract entities and relationships from unstructured text into knowledge graphs

**Agenda:**

* 12:00 - 12:10 PM: Welcome and community updates
* 12:10 - 12:50 PM: Main presentation with examples
* 12:50 - 1:20 PM: Q&A and discussion
* 1:20 - 1:30 PM: [Manning Publications raffle and book giveaways](https://www.manning.com/books/essential-graphrag)

**Who Should Attend:** Developers and data practitioners working with RAG systems, knowledge graphs, or looking to build more reliable AI applications with structured + unstructured data.
**Format:** Virtual lunch & learn (12:00-1:30 PM EST Friday) - European-friendly timing. Grab your lunch and join us!

Serverless Toronto

Daniel Zivkovic

Fernando Perez

Aakarshit Uppal

Ritu

Juan Sarabia

Bash Kadri

Tushar Sharma

Akira Tejas

sai kiran

Ciel

gary haas

Alex Coqueiro

Yacine Touati

Mark Tyborowski

Binbin Li

babak hosseinzadeh

Ziyad Choudhury

Yevhenii Kuznietsov

Essential GraphRAG: Knowledge Graph-Enhanced RAG w/ Tomaž Bratanič & Oskar Hane

Online event

What if AI could give you more time to actually talk to your users? At [Every](https://every.to/), a 15-person company ships Cora, Spiral, Sparkle, Lex, Monologue, and more - not by coding faster, but through **Compound Engineering**: building self-improving systems where each PR, review, and bug fix makes the next one easier. The result? More time for what matters - understanding users and building better products.
Join [Kieran Klaassen](https://every.to/@kieran_1355) (GM of Cora) as he reveals how this revolutionary approach transforms engineering:

**From Speed to Understanding**

* Why Every engineers spend more time thinking about outcomes rather than typing code
* How transparent GitHub workflows create stakeholder visibility
* The shift from "what can we build?" to "what should we build?"
* Why understanding system architecture and having 'taste' becomes your superpower - choosing what to build for humans, not just how to build it

**The Compound Engineering Method**

* Self-improving systems where today's work makes tomorrow exponentially easier
* Specification-driven development that captures intent, not just features
* Full traceability from user need to production deployment
* How 2-person teams manage entire products with AI orchestration
* Why typing code is becoming optional when understanding users isn't

As Every explores: AI can expand our humanity - not by replacing human judgment, but by handling implementation so we can focus on what truly helps people. This isn't about replacing developers; it's about enabling them to build more humane products by spending time where it matters most - with humans.

**Agenda**

* 12:00 - 12:10 PM: Welcome and community updates
* 12:10 - 12:45 PM: Main presentation with live workflow demonstration
* 12:45 - 1:20 PM: Q&A and discussion
* 1:20 - 1:30 PM: Manning Publications raffle

**Who Should Attend**: CTOs, engineering managers, senior developers, and product leaders ready to transform how their teams build software. Perfect for those exploring AI-assisted development at enterprise scale or wanting to shift from individual coding to orchestrating AI systems.

**Format**: Virtual lunch & learn (12:00-1:30 PM EST Friday). Grab your lunch and join us!

Rohit

John Li

How I Use Claude Code to Ship Like a Team of Five - Enterprise Workflow Live

DataCloud

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