hard20 pts · first answer countsragvector-search
Inner product with unnormalised vectors
Your index uses inner product (dot product), and the embeddings are not normalised. A few long chunks show up for almost every query. Why?
Discussion 0
Join free to post in the discussion.
Related questions
- What RAG doesAI Engineer (LLM & Generative AI)
- Comparing two embeddingsAI Engineer (LLM & Generative AI)
- What a vector database doesAI Engineer (LLM & Generative AI)
- What semantic search adds over keywordsAI Engineer (LLM & Generative AI)
- What an embedding dimension isAI Engineer (LLM & Generative AI)
- What top-k means in retrievalAI Engineer (LLM & Generative AI)
- Why vector search is approximateAI Engineer (LLM & Generative AI)
- When a flat index is fineAI Engineer (LLM & Generative AI)