Tools
Embedding Comparator
Embedding models — dimensions, price, language support, storage cost.
YOUR RAG SCENARIO
Total: token
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| RAG cost | Storage | Tags | ||||
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multi
open
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Storage = num_docs × dim × 4 bytes (float32). DBs like pgvector or Pinecone can compress this (binary, scalar quantization) — real storage may be 30-50% less.