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A comment on The Theoretical Limitations of Embedding-Based Retrieval. Parent comment

Re:The Theoretical Limitations of Embedding-Based Retrieval by tkfoss on Friday August 29, 2025 @07:43PM (#45070624)
Wouldn't holy grail then be parallel channels for candidate generation;

  euclidean embedding
  hyperbolic embedding
  sparse BM25 / SPLADE lexical search
  optional multi-vector signatures

  ↓ merge & deduplicate candidates
followed by weight scoring, expansion (graph) & rerank (LLM)?
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Re:The Theoretical Limitations of Embedding-Based Retrieval by jdthedisciple on Saturday August 30, 2025 @07:16AM (#45073701)
that is pretty much exactly what we do for our company-internal knowledge retrieval:

    embedding search (0.4)
    lexical/keyword search (0.4)
    fuzzy search (0.2)
might indeed achieve the best of all worlds
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