Beyond embeddings: Navigating the shift to completions-only RAG | Sensible Blog
We’ve recently explored some new approaches to retrieval-augmented generation (RAG) that rely solely on completions without using embeddings. Learn how this completions-only method compares to embedding-based approaches, and why we believe it may be the future for certain RAG use cases as language models continue to improve. Strict timelines for technological advancement are inevitably inaccurate, yet progress occurs nonetheless. Businesses need AI maturity models, not timelines, to navigate the profound industry changes that will result as AI technologies become normalized. Extract structured data from financial documents in seconds Automate data entry from loss runs, ACORD forms, policies, and more Parse structured data from offering memos, rent rolls, and more Real-time bank statement processing Extract identification details from driver's licenses Instantly parse policy declaration pages Extract data from utility bills in seconds Bringing structure to unstructured data Companies us
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