Vectorize PDFs for RAG with Imprompt.ai and LlamaIndex
LlamaParse by LlamaIndex is an easy API that turns complex PDFs into markdown ready to vectorize for use in RAG (retrieval augmented generation).
Watch as DataStax and LlamaIndex demonstrate a how-to of the new LlamaParse API in this livestream, and learn how you can build a production-ready RAG application with all your PDFs and documents.
In this 45-minute session, we’ll show you how to:
- Turn PDFs into markdown for ingestion with a preview of the LlamaParse API
- Chunk and embed the data into vectors using LlamaIndex, Cohere, and Astra DB
- Build a simple chatbot using the Vercel AI SDK and Next.js
- Build intelligent RAG prompts to utilize your doc data
Speakers
Jerry Liu
CEO
LlamaIndex
Jeff Schneider
CEO
Imprompt
Alex Leventer
Head of GenAI Ecosystem
DataStax
Carter Rabasa
Head of Developer Relations
DataStax