https://video.ut0pia.org/videos/watch/8f216bb8-2d4e-4d49-9adf-3b08ece1f875 There are many variables in building RAG applications, from document parsing to the language model you pick for generation and everything in between. Combining Docling for document parsing, OpenSearch for retrieval, and Langflow for orchestration, plus local and remote models, OpenRAG is an opinionated, agentic, open-source stack for building the RAG application of your dreams. Just because it has opinions doesn't make it inflexible though. In this talk we'll look at how OpenRAG gives you a great baseline for RAG and how you can tune it and evaluate the outcomes to create RAG applications that work well with your data. You'll learn how to get the best out of your documents with Docling, how OpenSearch provides more than just vector search, and how Langflow makes it easy to customise your pipeline to interact with your data the way you want to. You’ll leave with a playbook of options to improve your RAG app and a stack you can extend without reinventing everything. Phil Nash - Developer relations engineer, IBM Phil is a developer relations engineer for DataStax and Google Developer Expert living in Melbourne, Australia. He's been working in developer relations for a decade, speaking at conferences since 2012, and writing JavaScript since before jQuery. Away from the keyboard, Phil enjoys travel, live music, and hanging out with his mini sausage dog, Ruby. Socials: https://x.com/philnash https://linkedin.com/in/philnash https://philna.sh https://github.com/philnash Thu, 09 Apr 2026 15:12:33 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/8f216bb8-2d4e-4d49-9adf-3b08ece1f875 All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.