AINewsnow

Hybrid retrieval is decided by your tokeniser, not your fusion weights

Semantic search looks like it works until someone pastes a part number into the box. Ask a vector index for HS-2841-B and it returns "related" chunks about heating systems, because embeddings treat the string as vague semantics rather than an exact identifier. Ask BM25 for the same thing and it usu…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-11-13 01:00 · DEV Community — AI
    Hybrid retrieval is decided by your tokeniser, not your fusion weights

More stories

  1. Nvidia CEO Jensen Huang resigns amid scandals; CFO Colette Kress named interim chief — CSET Georgetown
  2. Google DeepMind unveils AlphaGenome 2 for cell-type-specific DNA variant predictions — Google DeepMind Blog
  3. Google launches Gemini 4 Hydrogen, a fast lower-cost model for coding and agents — Google DeepMind Blog
  4. Anthropic launches IPO with $1.4 trillion target as tech giants pledge $26 billion — Bloomberg AI
  5. Google expands Gemini 4 Carbon access from cybersecurity defenders to Pro users and API — Google DeepMind Blog
  6. Anthropic expands Claude into workplace suite with Sheets, Whiteboards, Meetings and manufacturing tools — Anthropic (X)
  7. Google brings Gemini app to Apple CarPlay and unveils Gemini 4 Hydrogen model — Google AI Blog
  8. ElevenLabs launches Scribe v3 and Scribe v3 Live speech-to-text models — Anthropic (X)

Get the daily brief of stories like this at 6:30 every morning →