About this document
RAG LLM Application Challenges by Uma is a document available to read on EtoBox.
The document discusses the challenges of building production-ready Retrieval Augmented Generation (RAG) based large language model (LLM) applications, highlighting issues in data ingestion, retrieval, and generation stages. It emphasizes the importance of accurate data extraction, optimal chunking strategies, and creating robust pipelines to enhance performance and scalability. Proposed solutions include improved parsing techniques, fine-tuning embedding models, and employing modular systems to manage large
- Author
- Uma
- Language
- EN