Pragya
Keshap
Technical Lead / Architect at Charles Schwab
"From Docs to Dialogue: Architecting AI Chatbots for Product Discovery on Google Cloud"
"From Docs to Dialogue: Architecting AI Chatbots for Product Discovery on Google Cloud"
Wed May 13 - 6:50 PM EDT/New York (See in local time)
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05/13/2026 6:50 PM
05/13/2026 07:00 PM
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"From Docs to Dialogue: Architecting AI Chatbots for Product Discovery on Google Cloud"
#WTGC2026
"From Docs to Dialogue: Architecting AI Chatbots for Product Discovery on Google Cloud"
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"From Docs to Dialogue: Architecting AI Chatbots for Product Discovery on Google Cloud"
"From Docs to Dialogue: Architecting AI Chatbots for Product Discovery on Google Cloud"
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Session: From Docs to Dialogue: Architecting AI Chatbots for Product Discovery on Google Cloud
Most product documentation sits untouched — buried in PDFs, wikis, and portals that users never find. The real challenge is not writing better docs; it is turning them into a conversation.In this lightning talk, Pragya Keshap, Technical Architect and IEEE Senior Member, walks through the architecture of a product-aware AI chatbot built on Google Cloud — one that uses Retrieval-Augmented Generation (RAG) to ground every response in live product context rather than generic model knowledge. Drawing from enterprise API platform design and large-scale cloud-native systems, she shares how architects can connect product documentation, catalogs, and knowledge bases to Gemini via Vertex AI, AlloyDB vector search, and GKE — eliminating hallucination while enabling natural, contextual product discovery.
Attendees will leave with a practical three-layer architecture blueprint — ingest, retrieve, respond — and a clear understanding of where most chatbot implementations fail: not the model, but the grounding layer.
Because the gap between your best documentation and your user's understanding is exactly one well-designed conversation away.
Key Takeaways
- A practical three-layer blueprint — ingest, retrieve, respond — for building a product-aware AI chatbot on Google Cloud using Vertex AI, AlloyDB vector search, and GKE
Bio
Pragya Keshap is a Technical Architect with 18 years of experience designing secure, large-scale, cloud-native systems in regulated financial environments. She specializes in enterprise API modernization, zero-trust architectures, identity engineering, and AI-driven platform design on Google Cloud.At Charles Schwab, she has led mission-critical platform transformations powering tens of millions of daily API calls and large-scale advisor and trading ecosystems. An IEEE Senior Member, published researcher, and Springer Nature co-author, Pragya speaks globally on AI governance, cloud security, and responsible architecture. She is passionate about building systems — and teams — that scale with both performance and trust.
