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UID:pretalx-devconf-us-2025-98HYTP@pretalx.devconf.info
DTSTART;TZID=EST:20250920T124000
DTEND;TZID=EST:20250920T125000
DESCRIPTION:Retrieval Augmented Generation (RAG) has quickly become a popul
 ar choice for building intelligent AI applications\, yet taking one from c
 oncept to production can often be complex. This workshop aims to demystify
  that process\, showing you just how straightforward it is to create and d
 eploy powerful RAG applications. We'll walk through the development and Op
 enShift deployment of a simple chatbot that provides specialized insight i
 nto GitHub repositories\, delivering context-aware answers based on the re
 pository's content.\n\nYou'll discover how Llamastack\, a powerful API lay
 er\, simplifies the entire RAG development lifecycle by providing a unifie
 d framework for agents\, tooling\, and vector I/O. We'll also dive into au
 tomated deployment capabilities\, demonstrating how Helm charts enable sea
 mless orchestration on OpenShift\, giving you a scalable and robust infras
 tructure for your LLM and vector database. This workshop will equip you wi
 th the practical knowledge and tools to bring your RAG ideas to life at sc
 ale.
DTSTAMP:20260311T011533Z
LOCATION:106 (Capacity 45)
SUMMARY:Building easily deployable RAG applications with Llamastack - Peter
  Zhao
URL:https://pretalx.devconf.info/devconf-us-2025/talk/98HYTP/
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