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Relevance Marginal Maximum (MMR) xeetu rang-waat la buy méngale njariñu ab resultaa ak njariñu wuute gi ak njariñ yiñ jota tànn.
Déglul tegtal biiIA-nettali · ~2 min
It matters because pure relevance ranking often returns near-duplicate passages that waste space in a RAG context window.
Sudee sistemu seetlu bi dafay joxe poñ ci këyit yi ci njariñu laaj bi, njariñ yi ci kaw dañuy faral di redondance — juróomi pàcc yépp di wax benn mbir. MMR, bi Carbonell ak Goldstein dugal ci 1998, dafay saafara jafe-jafe yi ci tànnee resultaa yi benn-benn. Jéego bu nekk dafay tànn kàndidaa bi gëna mëna jëfandikoo njaxas mi: lambda dafay yokk njariñam ci laaj bi, dindi (1 dindi lambda) di gëna méngoo ak lépp luñ jota tànn. Lambda bu jege 1 dafay bëgg relevance bu sell; ci wetu 0 dafay bëgg wuute. Ci retrieval-augmented generation, MMR siiw na lool ci jël ay pàcc yu bari, suko defee xeetu làkk bi di gis firnde yuy mottali, du ñuy baamtu benn mbir, gëna baaxal coverage te du yokk contexte bi.
RAG chatbot dafay jëfandikoo MMR retrieval suko defee 5 pàcc yi gëna mag ñuy wax ci yenn mbir ci benn politik ci barabu juróomi paraphrase ci benn paragraf.
Jumtukaayu resumé gëstu dafay jëfandikoo MMR ngir tànnee pàcc yu wàññi jaxasoo, defar resumé bu gëna yaatu te baña baamtu.
Ab aggregator xibaar dafay rang article yi ak MMR ngir wane coverage yu bari ci benn xew-xew, du fukki surnaal yuy baamtu benn wire.
Vecteur bu LangChain dafay wane search_type='mmr' ak fetch_k ak lambda_mult ngir wuutale këyitu delloo yi.
MMR mingi wéy di nekk default bu woyof ci kiliyaan vecteur-database yu melni LangChain ak Chroma, fu ñu koy joxe ci benn liiñ buy seetlu. Sistem yiy ñëw dañu koy gëna boole ak mébetu wuute yiñ jàng, tànneef bu lalu ci cluster, ak rerankers cross-encoder yuy àtte lu bees ci wàllu semantik lu ëpp distance cosine. Bi palanteer yi di màgg, li ñuy bàyyi xel mooy joge ci sakkanal palaas ngir dajale firnde yuy mottali dëgg, di tëye tànneef bu xam wuute gi melni MMR am solo doonte kàttan bu bees bi barina.
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Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Relevance Marginal Maximum (MMR) xeetu rang-waat la buy méngale njariñu ab resultaa ak njariñu wuute gi ak njariñ yiñ jota tànn. Dafa am solo ndax rang relevance bu seer dafay faral di delloosi ay passage yu nuru luy yàq palaas ci palanteer RAG.
MMR dafay wax ci tendaas bi nekk ci rang yi gëna am solo ngir génne ay resultaa yu bari yuy wax luni mel, ci neexal lu bees.
Lambda poids relevance; ci wetu 1, terme relevance bi moo ëpp doole, waaye ci wetu 0, terme diversité (nuru gu néew) moo ëpp doole.
MMR xeetu iteratif la bu bëgg lu bari: tànneef bu nekk dafay yokk njariñ li ci dindi nuru gi gëna mag ak mbir yiñ jota tànn.
The general algorithm permits suitable similarity functions; cosine is a common choice for vector representations.
Suñu wutee ay pàcc yuñ jëlee, MMR dafay jàppale model bi mu gis firnde yu bari te baña baamtu benn mbir, gëna baaxal coverage bi.
Weyal di jàng
Tann nañu yeneen njiit ngir topic bii
Ci bi mu melGis bi ci topp
Suppression bu amul maximum
IA buy wane