This New Embedding Model Cuts Vector DB Costs by ~200x!
Author(s): Avi Chawla Originally published on Towards AI. It also outperforms OpenAI and Cohere models. RAG is 80% retrieval and 20% generation. Contextualized chunk embedding (Image by Author)This article discusses the challenges and solutions related to Retrieval-Augmented Generation (RAG) setups, particularly focusing …