Nhungamiro yehunyanzvi

Vector Databases

Vector dhatabhesi inochengetedza nhamba inomiririra uye inotora marekodhi uchishandisa chiyero chakafanana, kazhinji padivi pemetadata mafirita.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Pa peji ino2 min verenga
  1. Pfupiso
  2. Zvakakosha zvinobuda
  3. Kudzika Kwakadzika
  4. Ronga embedding-model kutama
  5. Kuitwa muNyika yeChokwadi
  6. Kuzvishandisa
  7. Sources uye kuwedzera kuverenga
  8. Ramba Uchiongorora
  9. Mibvunzo inowanzo bvunzwa

Pfupiso

Inogona kutsigira semantic kutsvaga, kurudziro, uye kudzoreredza kweAI application. Izvo hazvitsigire zvakazvimirira chokwadi, mvumo, kana kubatsira kwerekodhi rakadzoserwa.

Zvakakosha zvinobuda

  1. Shanduro embeddings nekwavo uye modhi.
  2. Ongorora fungidziro zvichienderana nebasa rebasa.
  3. Bata kudzima uye mvumo sezvinodiwa zvekirasi yekutanga.

Kudzika Kwakadzika

Modhi yekumisikidza inomepu chinhu chakaita sendima kana mufananidzo muvhekita. Iyo dhatabhesi inonongedza iwo mavheji kuitira kuti mumiriri wemubvunzo atore zvinhu zviri pedyo. Chengetedza izvo zvekutanga zvemukati, tsime identifier, uye yakakodzera metadata inowanikwa nevector. Iyo yekumisikidza modhi uye chiyero chekufanana chinofanira kuenderana nekushandisa. Kushandura modhi kunogona kushandura zvinoreva kana zviyero zvezvakachengetwa zvinomiririra. Kutama kungangoda kudzokorodza embeddings uye kuvaka patsva index pane kusanganisa ekare nemavekita matsva. Kutsvaga kwevavakidzani chaiko kunoenzanisa vavhoti zvakananga, nepo nzira dzekufungidzira dzichitengesa kumwe kutendeseka kwekumhanyisa kana ndangariro. Ongorora tradeoff uchishandisa mibvunzo inomiririra uye saizi chaiyo yekuunganidza. Database latency chete haiyere kukosha kwehumbowo hwakadzoserwa. Ronga zvigadziriso, kudzima, uye mvumo sechikamu chekugadzira. Gwaro rakabviswa harifanire kuramba richionekwa kuburikidza nekare. Metadata mafirita anofanirwa kusimbisa iyo inokumbira mushandisi inotenderwa chiyero. Edza zvigadziriso panguva imwe chete uye maitiro ekudzoka kana index isipo.

04Muenzaniso wakashanda

Ronga embedding-model kutama

  1. Fungidzira indekisi yakavakwa nemuenzaniso A uye sevhisi yemubvunzo mutsva uchishandisa modhi B.

  2. Kunyangwe ese ari maviri akaburitsa huwandu hwakafanana hwezviyero, zvirevo zvadzo hazvifanire kuenderana. Kuzvisanganisa kunogona kuita kuti mhedzisiro ifanane isava nerevo.

  3. Vaka indekisi yakapatsanurwa uchishandisa modhi B, iongorore, uye chinja mibvunzo chete mushure mekusimbisa kutama kwakazara.

Zvazvinoratidza

Mamiriro ezvinhu akagadzirwa anoratidza kuti nei kudzvanya shanduro iri chikamu chekutendeseka kwedata.

Kuitwa muNyika yeChokwadi

Dzora ndima dzine hukama uchichengetedza mvumo yegwaro uye mabviro.

Enzanisa chaiyo uye fungidziro yekudzosa pane yakabatwa-yemubvunzo set.

Kuzvishandisa

Nei zvichikosha

  • Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
  • Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
  • Kudzora kwemhando yepamusoro. Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.

Chenjera

  • Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
  • Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
  • Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.

Matanho anotevera

  1. Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
  2. Benchmark pasi pechokwadi mutoro uye data mamiriro.
  3. Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
  4. Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.

Sources uye kuwedzera kuverenga

  1. PineconeHybrid yekutsvaga ine dense uye sparse vectors

Ramba Uchiongorora

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.

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

Zviedze iwe pachako

Take the Vector Databases 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

Ndinogona here kushandura emedding modhi pasina kuvakazve mavheji akachengetwa?

Kwete zvakachengeteka nekufungidzira. Zvinomiririrwa kubva kumhando dzakasiyana zvinogona kunge zvisingaenderane kunyangwe hukuru hwazvo hunoenderana.