Cover Image for Virtual  Lunch & Learn: RAG to GraphRAG — Smarter AI Retrieval
Cover Image for Virtual  Lunch & Learn: RAG to GraphRAG — Smarter AI Retrieval
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Presented by
ApertureData
Graph-vector database purpose-built for multimodal AI
Hosted By
11 Going

Virtual Lunch & Learn: RAG to GraphRAG — Smarter AI Retrieval

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Virtual Lunch & Learn: RAG to GraphRAG — Smarter AI Retrieval

Details:

📅 Tuesday, August 26, 2025
🕘 11:00–  12:00 PM | PDT
🎙️ Featuring Ayesha Imran—Associate Engineer, Data Science Dojo  & Gautam Saluja— Sr Software Engineer, ApertureData
​👉 Save Your Spot

Grab your lunch and join us for this virtual Lunch & Learn!

In this session, our community member Ayesha Imran will show how to go beyond Vanilla RAG by automating GraphRAG—merging semantic embeddings with knowledge graphs for smarter AI retrieval.”

Drawing from her popular 4-part blog series, Ayesha will walk you through how to:

  • Automate knowledge graph creation with Google Gemini + ApertureDB.

  • Add semantic layers for hybrid GraphRAG retrieval.

  • Benchmark GraphRAG vs. Vanilla RAG with both quantitative metrics and LLM-as-a-judge qualitative evaluation.

  • Understand when graph context beats pure similarity search

What you’ll learn:

  • Why GraphRAG retrieval delivers smarter, more connected answers than traditional RAG.

  • How to build an AI-ready knowledge graph pipeline from raw PDFs to production—without manual glue code

  • Practical trade-offs: precision, cost, and explainability

Who should attend:

AI engineers, data scientists, ML researchers, and anyone working on LLM-powered applications who want  to improve retrieval quality, reduce hallucinations, and build smarter AI systems.

​👉 Register now to secure your spot!

Can’t make it to the Lunch & Learn?
We’ve got you covered. Register and we will send you a link with the replay once it is available.

Avatar for ApertureData
Presented by
ApertureData
Graph-vector database purpose-built for multimodal AI
Hosted By
11 Going