RAG Without Vectors? Why PageIndex Might be the Architecture We’ve Been Missing

In recent times, Large Language Models (LLMs) have become the go-to solution for answering user queries. However, the context window (the maximum amount of tokenized text a model can process at one time) has remained a fundamental architectural limit. While recent models longer contexts, researchers have established that model performance deteriorates with growing context length.¹ This creates problems for LLMs to accurately interpret and reason over long, complex, domain-specific documents.