Superior RAG for Complex PDFs with LlamaParse
The question that continues to be asked in enterprises worldwide is, “How do I deal with complex documents that have figures, tables, and graphs?”
The next step in the evolution of dealing with tabular data contained within PDFs for your advanced RAG systems comes from LlamaIndex, and it’s called LlamaParse.
LlamaParse was released as a proprietary parsing tool for complex documents with embedded tables and figures. It is a key component of the release of LlamaCloud, a fully managed set of services designed to bring “production-grade context augmentation” to your LLM and RAG applications.
In this event, as in our previous RAG for Complex PDFs event, we’ll investigate the limits of this tool. Here, we’ll do an end-to-end example using a complex PDF that contains embedded tables and figures. Join us to discover if the product does what it says “on the tin!” As always, code demos and slides will be shared!
Who should attend the event?
AI engineers or business leaders who want to see the state-of-the-art in QA on complex PDFs
LLM practitioners looking to build more robust LLM and RAG applications
Anyone trying to build “ChatGPT” for their technical documents, manuals, or other PDFs
Speakers:
Dr. Greg Loughnane is the Co-Founder & CEO of AI Makerspace, where he serves as an instructor for their AI Engineering Bootcamp. Since 2021 he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Dayton, Ohio.
Chris Alexiuk is the Co-Founder & CTO at AI Makerspace, where he serves as an instructor for their AI Engineering Bootcamp. Previously, he’s held roles as a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator YouTube who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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