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Non-Maximum Suppression
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Maximum Marginal Relevance (MMR) inzira yekuisa zvinzvimbo zvakare inoyera kuti mhedzisiro inoenderana nekusiyana kwayakaita kubva kune zvakatosarudzwa.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
It matters because pure relevance ranking often returns near-duplicate passages that waste space in a RAG context window.
Kana hurongwa hwekutsvaga huchiwana magwaro chete nekukoshera kumubvunzo, mibairo yepamusoro inowanzo shaya basa - ndima shanu dzese dzichitaura chinhu chimwe. MMR, yakaunzwa naCarbonell naGoldstein muna 1998, inogadzirisa izvi nekusarudza mhinduro imwe panguva. Panhanho imwe neimwe inotora mumiriri anokwirisa musanganiswa wakayerwa: lambda inopeta kukosha kwayo kumubvunzo, kubvisa (1 minus lambda) nguva dzayakafanana zvakanyanya kune chero chatosarudzwa kare. Lambda iri pedyo ne1 inofarira kukosha kwakachena; pedyo ne0 inofarira kusiyana-siyana. Muchizvarwa chekutsvaga-chakawedzerwa, MMR inofarirwa nekutora zvakasiyana-siyana zvezvimedu kuitira kuti modhi yemutauro ione humbowo hunopindirana pane kuti chokwadi chimwechete chidzokororwe, kuvandudza kuvharika pasina kuwedzera mamiriro.
RAG chatbot inoshandisa MMR kudzoreredza saka machunks ayo mashanu epamusoro anovhara akasiyana maitirwo emutemo panzvimbo pezvirevo zvishanu zvendima imwe chete.
Chishandiso chekupfupisa chetsvagiro chinoshandisa MMR kusarudza ndima dzinoderedza kupindirana, dzichigadzira pfupiso, isingadzokororwe.
Muunganidzi wenhau anoisa zvinyorwa neMMR kuratidza zvakasiyana siyana zvechiitiko kwete zvitoro gumi zvinodzokorora nyaya imwe chete.
LangChain's vector store retriever inofumura search_type='mmr' nefetch_k uye lambda_mult kusiyanisa zvinyorwa zvakadzorerwa.
MMR inoramba iine huremu huremu muvector-database vatengi seLangChain neChroma, kwainopihwa senge-mutsetse wekudzoreredza modhi. Masisitimu emangwana anowedzera kuibatanidza nezvinangwa zvakasiyana-siyana zvakadzidzwa, kusarudzwa-kwakavakirwa-masumbu, uye kuyambuka-encoder reankers inotonga hutsva zvakanyanya semantically pane cosine chinhambwe. Sezvo mahwindo anokura, simbiso inoshanduka kubva pakuchengetedza nzvimbo kuenda pakugadzirisa humbowo hunoenderana, kuchengetedza kusiyana-kuziva kusarudzwa seMMR kwakakodzera kunyangwe huwandu hwakasvibira huzhinji.
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Maximum Marginal Relevance (MMR) inzira yekuisa zvinzvimbo zvakare inoyera kuti mhedzisiro inoenderana nekusiyana kwayakaita kubva kune zvakatosarudzwa. Izvo zvine basa nekuti kwakachena kuenderana chinzvimbo kunowanzo dzorera padhuze-duplicate ndima iyo inoparadza nzvimbo muRAG mamiriro hwindo.
MMR inogadzirisa maitiro ekuenderana-chete chinzvimbo kuburitsa mibairo mizhinji inotaura chinhu chimwe chete, nekupa mubairo mutsva.
Lambda huremu kukosha; pedyo ne1 izwi rekukosha rinotonga, nepo pedyo ne0 mutsauko (kuderera-kufanana) izwi rinotonga.
MMR inzira ine makaro yekudzokorora: sarudzo yega yega inowedzera kukosha kubvisa kufanana kukuru kune zvinhu zvakatosarudzwa.
Iyo general algorithm inobvumira akakodzera kufanana mabasa; cosine isarudzo yakajairika yekumiririra vector.
Nekusiyanisa machunks akadzoserwa, MMR inobatsira modhi kuona humbowo hwakasiyana kwete chokwadi chimwechete chinodzokororwa, kuvandudza kuvharika.
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Non-Maximum Suppression
AI Yekutarisa