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MUG Zürich — How to Truly Stop AI Hallucinations

Two talks from Helvetia Insurance engineers: why factual errors in generative AI apps usually come from weak retrieval design rather than the model — covering semantic chunking, metadata filtering, hybrid search, reranking and output guardrails — and a second session on the benefits and risks of AI-assisted development.

Dates
10 Nov 2026
Time
18:00–21:00
City
Zurich
Venue
Zurich (venue to be announced)
Organiser
Zürich MongoDB User Group
Format
Meetup
Cost
Not listed
Topics
RAG, Data modelling, Applied AI
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