Improve RAG Performance with Open-Parse Intelligent Chunking
If you are implementing a generative AI solution using Large Language Models (LLMs), you should consider a strategy that uses Retrieval-Augmented Generation (RAG) to build contextually aware prompts for your LLM. An important process that occurs in the preproduction pipeline of a RAG-enabled LLM is the chucking of document text so that only the most relevant sections of a document
Read more...