BM25 vs Vector on the Same Query #rag #hybridsearch #llm

Shane | LLM Implementation · Beginner ·🔍 RAG & Vector Search ·2w ago

Skills: RAG Basics80%

Search for ResNet-101. Vector search returns the wrong table entirely — power efficiency instead of latency. BM25 finds the exact row: 8.2 ms, 4.1 ms, 2.1 ms. Embeddings encode meaning — BM25 matches tokens. 📚 Full tutorial: https://youtu.be/WwYhjGYlFpQ 📋 Playlist: https://www.youtube.com/playlist?list=PL0G6--HT7Yq_sxLFyWFWL6KHYWlosspj_ 💬 Discord: https://discord.gg/KpnJQbgpjt

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