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BreadcrumbHome/Singapore/[Tech Talk] Beyond Vector Search: Building Reliable RAG for Complex Questions
[Tech Talk] Beyond Vector Search: Building Reliable RAG for Complex Questions
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[Tech Talk] Beyond Vector Search: Building Reliable RAG for Complex Questions

Sept2
Wednesday, September 2, 202618:30 – 20:30
Thoughtworks Pte. Ltd.
www.meetup.com/tech-talks-thoughtworks-singapore/events/316163637/
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About the event

***Please [register via this link](https://www.thoughtworks.com/en-sg/about-us/events/singapore-tech-talk-2026?utm_source=meetup&utm_medium=event-sites&utm_campaign=eb_sgen-sg-can_sg-tech-talk_2026-07&gh_src=4978242d1us) to secure your spot***

***Get the building access QR code for the event [here](https://office.habitap.one/#/event?token=8JV2M6Y3R6CHXO3V&officeCentreId=734)***

Beyond vector search: Building reliable RAG for complex questions *with Pratiksha Parsewar, Senior Consultant, Thoughtworks and Teng Lei, Principal Data Scientist, Thoughtworks*

Vector search is a useful starting point for RAG, but it breaks down when applications need to answer questions that span multiple documents, sources or relationships. At that point, simply tuning embeddings or increasing the number of retrieved chunks often isn’t enough. Engineers need to understand how different retrieval architectures address different failure modes—and how to know whether they actually improve results.

This session takes a practical, engineering-focused look at moving beyond naive RAG, covering approaches such as hybrid, multi-stage and graph-based retrieval, alongside a rigorous framework for evaluating them.

You’ll learn:

• Where basic vector RAG breaks down and how to identify its failure modes • How to choose between different retrieval architectures based on the problem you're solving • How multi-hop and graph-based retrieval can improve answers to complex questions • How to evaluate retrieval and end-to-end answer quality systematically • What to consider when moving more complex RAG pipelines into production

Who should attend: Software engineers, AI architects and data practitioners who are building RAG applications and want practical techniques for designing, comparing and evaluating retrieval architectures beyond basic vector search.

About the speaker Pratiksha Parsewar is a Senior Application Developer and Agentic AI Engineer with 9+ years of experience across fintech, global banking, high-concurrency super apps, multi-agent AI architectures, and scalable microservices.

Teng Lei is a Principal Data Scientist and regional AI leader with 15+ years of experience across consulting, banking, AI engineering, analytics strategy, and enterprise transformation.

Agenda 6:30 pm Registration and networking 7:00 pm Beyond vector search: Building reliable RAG for complex questions 7:45 pm Q&A and networking 8:30 pm Event closes

Event Details 📅 Date: Wednesday, September 2, 2026 🕡 Time: 6:30 - 8:30pm (Talk starts at 7pm) 📍Venue: Thoughtworks Singapore office, 18 Cross Street, #12-01 18 Cross, Singapore 048423 🍕 Light refreshments and beverages will be provided

***Please [register via this link](https://www.thoughtworks.com/en-sg/about-us/events/singapore-tech-talk-2026?utm_source=meetup&utm_medium=event-sites&utm_campaign=eb_sgen-sg-can_sg-tech-talk_2026-07&gh_src=4978242d1us) to secure your spot***

We hope to see you there!

**Disclaimer:* *Photographs, videos or recordings may be taken and used by Thoughtworks at this tech talk. Thoughtworks may use these photos, videos or recordings in public transmissions such as in media accounts, digital platforms, brochures, websites and other publication materials. If you have any concerns with being photographed, filmed or recorded, please let the onsite photographer, videographer or event organizer know. For further information, please refer to Thoughtworks' Privacy Policy listed in our website: [www.thoughtworks.com](http://www.thoughtworks.com/)*

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