Mutauro AI GUIDE

Maximum Marginal Relevance

Maximum Marginal Relevance (MMR) inzira yekuisa zvinzvimbo zvakare inoyera kuti mhedzisiro inoenderana nekusiyana kwayakaita kubva kune zvakatosarudzwa.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Pa peji ino2 min verenga
  1. Pfupiso
  2. Kudzika Kwakadzika
  3. Kuitwa muNyika yeChokwadi
  4. Ramangwana reMaxim Marginal Relevance
  5. Kuzvishandisa
  6. Ramba Uchiongorora
  7. Mibvunzo inowanzo bvunzwa

Pfupiso

It matters because pure relevance ranking often returns near-duplicate passages that waste space in a RAG context window.

Kudzika Kwakadzika

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.

Kuitwa muNyika yeChokwadi

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.

Ramangwana reMaxim Marginal Relevance

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.

Kuzvishandisa

Nei zvichikosha

  • Kumhanya uye chiyero. Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.
  • Svika uye svika. Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.
  • Sarudzo dzakajeka. Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.

Chenjera

  • Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.
  • Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.
  • Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.

Matanho anotevera

  1. Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.
  2. Mhinduro dzepasi neakavimbika masosi pese pazvine basa.
  3. Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.
  4. Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.

Ramba Uchiongorora

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

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Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.

Zviedze iwe pachako

Take the Maximum Marginal Relevance quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

What is Maximum Marginal Relevance?

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.

Nderipi dambudziko rekutanga iro MMR rakagadzirirwa kugadzirisa?

MMR inogadzirisa maitiro ekuenderana-chete chinzvimbo kuburitsa mibairo mizhinji inotaura chinhu chimwe chete, nekupa mubairo mutsva.

MuMMR formula, lambda inokosha pedyo ne1 inosimbisa chii?

Lambda huremu kukosha; pedyo ne1 izwi rekukosha rinotonga, nepo pedyo ne0 mutsauko (kuderera-kufanana) izwi rinotonga.

MMR inosarudza sei mibairo yayo?

MMR inzira ine makaro yekudzokorora: sarudzo yega yega inowedzera kukosha kubvisa kufanana kukuru kune zvinhu zvakatosarudzwa.

Iyo yekumisikidza-yakavakirwa MMR kuita kuyera kukosha kwemubvunzo uye dhinda redundancy?

Iyo general algorithm inobvumira akakodzera kufanana mabasa; cosine isarudzo yakajairika yekumiririra vector.

Nei MMR ichinyanya kubatsira mukudzoreredza-yakawedzera chizvarwa (RAG)?

Nekusiyanisa machunks akadzoserwa, MMR inobatsira modhi kuona humbowo hwakasiyana kwete chokwadi chimwechete chinodzokororwa, kuvandudza kuvharika.