The Context Myth: Why Your Embedding Model Is Actually Losing 80% of Document Meaning
Most embedding models fail with long documents because they chop them up too early, losing the global narrative. pplx-embed's diffusion pretraining and late chunking strategy preserves context across thousands of tokens. This changes everything for legal, research, and enterprise document retrieval.











