Bi-encoders vs Cross-encoders in RAG: A Cost-Benefit Analysis | Meet Vaddoriya posted on the topic | LinkedIn

𝗪𝗵𝗮𝘁 𝗔𝗿𝗲 𝗕𝗶-𝗲𝗻𝗰𝗼𝗱𝗲𝗿𝘀 𝗮𝗻𝗱 𝗖𝗿𝗼𝘀𝘀-𝗲𝗻𝗰𝗼𝗱𝗲𝗿𝘀? 🔹 Bi-encoders: → Two separate neural networks → One encodes your query → Another encodes documents → Compare the embeddings using similarity metrics 🔹 Cross-encoders: → Single neural network → Takes query + document together as input → Outputs a relevance score directly → More accurate but slower Now here’s how they work in RAG: 🔸 𝗕𝗶-𝗲𝗻𝗰𝗼𝗱𝗲𝗿𝘀 (Stage 1: Fast Retrieval) 1. Your query: “How to reduce RAG costs?”…