LlamaIndex Webinar: Improving RAG with Advanced Parsing + Metadata Extraction

In this video we cohost a workshop with the cofounders of Deasie (Reece, Leonard, Mikko) on improving RAG with advanced parsing and metadata.

​The data processing layer is one of the most important pieces to get right for RAG. This means that AI engineers need to make careful decisions in terms of parsing and transformations - including metadata extraction and chunking - in order to make sure that their e2e QA system is surfacing relevant results.

​This is a nice two-part workshop that demonstrates the following:
- ​the value of good parsing itself over complex documents, with LlamaParse
- ​the value of additional value of adding in metadata through Deasie's powerful automated labeling platform

​We show overall experimental results over research papers validating the combination of parsing + metadata for good performance.