Chunking Deep Dive: Technical Best Practices for RAG

​CrackedSF Presents: Chunking Deep Dive – Technical Best Practices for RAG

​CrackedSF is dedicated to advancing AI engineering in the SF/Bay Area by hosting top-tier talks and networking sessions with industry leaders. Join us for an evening focused on text segmentation (chunking) best practices for Retrieval Augmented Generation (RAG).

​Event Overview

​This session brings together AI engineers, data scientists, and developers to explore advanced strategies in chunking for RAG systems. The format is designed to encourage active participation through a mix of short talks, open Q&A sessions, and plenty of opportunities for networking with peers and speakers.

​What to Expect:

• ​Networking (5:30-6): Kick off the evening by connecting with fellow professionals over light refreshments.

• ​Expert Talks (6:00-7:30): Hear from industry experts as they share insights and practical experiences on the challenges and solutions for effective text segmentation. Our speakers include:

  • ​Nina Lopatina – Staff Developer Relations Engineer at Unstructured.io

  • ​Michael Ryaboy – Developer Advocate at KDB.AI

  • ​Akhilesh Sharma - Co-Founder of Chunkr.ai

• ​Interactive Q&A/Informal Discussions: Enjoy relaxed, post-talk conversations and ask the speakers and questions you have!

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​Food and drinks are generously provided by KDB.AI.

​Who Should Attend:

​This event is ideal for AI engineers, data scientists, and developers seeking to deepen their expertise in text segmentation within RAG systems. Whether you're refining an existing pipeline or building one from scratch, come join us for a hands-on, technical deep dive into advanced chunking strategies.

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​Please note: Some session details and the complete speaker line-up are still TBD. Stay tuned for updates!