Scale Your Vector DB to a Million Docs

Hosted by Aki Wijesundara and Manu Jayawardana

Sun, Jul 19, 2026

9:00 PM UTC (30 minutes)

Virtual (Zoom)

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AI Engineering Bootcamp & Certificate
Aki Wijesundara, PhD and Manu Jayawardana
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What you'll learn

Why naive vector search slows down

Watch a query crawl at scale and see exactly which part of the pipeline is the real bottleneck.

Pick the right index for your size

When a flat index is fine and when you need an approximate index like HNSW or IVF to stay fast.

Filter and shard before you search

Use metadata filters and partitioning to cut a million record search down to the slice that matters.

Why this topic matters

A vector search that feels instant on 5,000 documents can crawl once you hit a million. The bottleneck is rarely the model, it is how the index is built and queried. In this free 30 minute session you watch a vector database go from a toy collection to a million record index, and you see the three settings (index type, chunk size, and metadata filters) that decide whether queries stay fast. You leave able to size and tune a vector DB so retrieval stays quick as your data grows.

You'll learn from

Aki Wijesundara

AI Advisor | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.

He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes.

He is also the Co-Founder of Snapdrum, an AI consultancy helping companies integrate and automate their businesses using AI. Through Snapdrum, Manu has worked with top startups and enterprises across the U.S., Europe, and Asia, advising on automation, product development, and AI strategy.

Currently, Manu is the Co-Founder & CEO of Krybe, an AI voice agent startup in London transforming how businesses automate customer interactions. His experience spans fundraising, scaling products, and leading teams to deliver production-grade AI solutions adopted globally.

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