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GenAI hallucinations plague production apps, but OpenSearch's vector search and hybrid retrieval turn unreliable LLMs into precision engines. This talk unveils battle-tested RAG pipelines that slash errors by 80%+, drawing from semantic search and real-time analytics use cases.
Discover hands-on strategies: - Ingesting embeddings at scale with neural ranking and k-NN plugins for sub-second queries. - Hybrid BM25 + vector fusion to ground responses in enterprise knowledge bases and logs. - Live demos: RAG over petabyte traces, chunking optimizations, and eval frameworks benchmarking recall.
Packed with code snippets, failure autopsies, and deployment blueprints for Kubernetes. Ideal for ML engineers and architects building trustworthy GenAI, escape the hallucination trap and deploy survival-ready search today!
A DevOps engineer with a great passion for building communities around DevOps. Organiser of Google Cloud Gandhinagar, CNCF Gandhinagar, Hashicorp User Group Gandhinagar and Open Source Weekend. Have mentored 15+ hackathons and open source programs. I have given more than 15 talks... Read More →
I'm a Python developer and Pyladies Munich organizer. Love to learn new things and to share with others. I believe that technology can make the world more democratic and just better - let's contribute to this.
Thursday April 16, 2026 15:50 - 16:30 CEST Bohemia 3
