M'ndandanda wazopezekamo[Bisani][Show]
Ma database a Vector akuyimira kusintha kwakukulu momwe timayendetsera ndikutanthauzira deta, makamaka pankhani zanzeru zopangira komanso kuphunzira pamakina.
Ntchito yofunikira ya nkhokwezi ndikuyendetsa bwino ma vector apamwamba kwambiri, omwe ndi zida zopangira makina ophunzirira makina ndikuphatikiza kutembenuza mawu, chithunzi, kapena mawu omvera kukhala mawerengero amitundu yosiyanasiyana.
Kwa mapulogalamu monga machitidwe oyamikira, kuzindikira zinthu, kubweza zithunzi, ndi kuzindikira zachinyengo, kusintha kumeneku sikungowonjezera kusunga; ndi khomo la kuthekera kwamphamvu pakufufuza kofanana ndi mafunso oyandikana nawo.
Mozama kwambiri, mphamvu ya nkhokwe zosungiramo ma vector zili mu mphamvu zawo zomasulira deta yambiri yosasinthika, yovuta kukhala ma vectors omwe amajambula nkhani ndi tanthauzo la zomwe zili zoyambirira.
Ntchito zofufuzidwa zomwe zatheka chifukwa choyikamo ma encoding awa ndikutha kufunsa ma vekta ozungulira kuti mupeze zithunzi kapena mawu ogwirizana nawo.
Ma database a Vector ndi apadera chifukwa amamangidwa panjira zotsogola zotsogola monga Inverted File Index (IVF) ndi Hierarchical Navigable Small World (HNSW), zomwe zimakweza liwiro lawo ndikuchita bwino popeza oyandikana nawo pafupi ndi malo a N-dimensional.
Pali kusiyana koonekeratu pakati pa vekitala ndi ma database apamwamba. Ma database anthawi zonse ndiabwino pakukonza zidziwitso m'maseti okonzedwa omwe amakonzedwa ndi CRUD ndikutsata ma schemas.
Komabe, polimbana ndi zovuta komanso zovuta zama data apamwamba kwambiri, kukhwima uku kumayamba kukhala cholepheretsa.
Mosiyana ndi izi, nkhokwe zosungiramo ma vector zimapereka kusinthasintha komanso kuchita bwino zomwe zofananira sizingafanane, makamaka pamapulogalamu omwe amadalira kwambiri. makina kuphunzira ndi luntha lochita kupanga. Sikuti amangowonjezereka komanso amafufuza zofananira.
Ma database a Vector ndiwothandiza kwambiri pakugwiritsa ntchito kwa AI. Kuti titsimikize kuti zinthu zomwe zidapangidwazo zisunga tsatanetsatane, mapulogalamuwa—omwe akuphatikizapo kukonza zilankhulo zachibadwa ndi kupanga zithunzi—zimadalira kubweza msanga ndi kuyerekezera zoyikapo.
Chifukwa chake mugawoli, tiwona nkhokwe zapamwamba za vekitala za polojekiti yanu yotsatira.
1. Milvus
Milvus ndi nkhokwe yotsegulira gwero la ma vector omwe amapangidwira makamaka mapulogalamu a AI, kuphatikiza kusaka kofananira ndi ma MLOps amphamvu.
Zimasiyana ndi nkhokwe zaubwenzi wamba, zomwe nthawi zambiri zimagwira zambiri, chifukwa cha mphamvu imeneyi, yomwe imathandiza kuti iwonetsere ma vectors pa sikelo yoposa thiriliyoni.
Kudzipereka kwa Milvus ku scalability ndi kupezeka kwakukulu kumawonetsedwa ndi momwe adasinthira kuchokera ku mtundu wake woyamba kupita ku Milvus 2.0 yofalitsidwa kwathunthu.
Mwachindunji, Milvus 2.0 ikuwonetsa mawonekedwe amtambo wamtambo omwe cholinga chake ndi kupezeka modabwitsa kwa 99.9% pomwe ikukula kupitilira mazana a ma node.
Kwa iwo omwe akufunafuna njira yodalirika ya database ya vekitala, kope ili limabwera likulimbikitsidwa chifukwa sikuti limangowonjezera zinthu zapamwamba monga kulumikiza kwa mitambo yambiri ndi gulu loyang'anira, komanso kumapangitsanso kusasinthasintha kwa deta pa chitukuko chosinthika cha ntchito.
Ubwino waukulu wa Milvus ndi njira yake yoyendetsedwa ndi anthu, yomwe imapereka chithandizo chazilankhulo zambiri komanso chida chambiri chogwirizana ndi zofuna za omwe akupanga.
M'gawo la IT, mtambo wake scalability ndi kudalirika, pamodzi ndi luso lake lapamwamba lofufuzira vekitala pamaseti akuluakulu, zimapangitsa kuti likhale lodziwika bwino.
Kuphatikiza apo, imathandizira magwiridwe antchito ake pogwiritsa ntchito kusaka kosakanizidwa komwe kumaphatikiza kusaka kwa ma vector ndi kusefa kwa scalar.
Milvus ili ndi gulu loyang'anira lomwe lili ndi zomveka mawonekedwe a mawonekedwe, gulu lathunthu la ma API, ndi zomangamanga zowongoka komanso zosinthika.
Kuyankhulana ndi ntchito zakunja kumayendetsedwa ndi gawo lofikira, pomwe kusanja kwa katundu ndi kasamalidwe ka deta kumayendetsedwa ndi ntchito yogwirizanitsa, yomwe imakhala ngati lamulo lapakati.
Kukhazikika kwa database kumathandizidwa ndi gawo losungira zinthu, pomwe ma node ogwira ntchito amagwira ntchito kuti awonetsetse kuti scalability.
mitengo
Ndi yaulere kuti igwiritsidwe ntchito kwa aliyense.
2. FAISS
Gulu lofufuza la Facebook la AI lidapanga laibulale yotsogola yotchedwa Facebook AI Similarity Search yomwe idapangidwa kuti ipangitse kusakanikirana kwa ma vector ndi kusaka kofananako kukhala kogwira mtima.
Kupanga kwake kudayendetsedwa ndi kufunikira kokweza kusaka kwa Facebook AI pogwiritsa ntchito njira zotsogola.
Poyerekeza ndi kukhazikitsidwa kwa CPU, kukhazikitsa kwapamwamba kwa GPU kwa FAISS kumatha kufulumizitsa nthawi zosaka kasanu mpaka kakhumi, ndikupangitsa kuti ikhale chida chamtengo wapatali pazogwiritsa ntchito zosiyanasiyana, kuphatikiza machitidwe opangira ndikuzindikiritsa matanthauzo ofanana mukukula. ma dataset osakhazikika monga mawu, zomvera, ndi makanema.
FAISS imatha kuthana ndi miyeso yofananira, monga kufanana kwa cosine, zinthu zamkati, ndi metric yomwe imagwiritsidwa ntchito kwambiri ya L2 (mtunda wa Euclidean).
Miyezo iyi imapangitsa kuti zikhale zosavuta kuchita kusaka kofananira kolondola komanso kosinthika pamitundu yosiyanasiyana ya data. Zinthu monga ma batch processing, kusinthanitsa mwachangu-liwiro, komanso kuthandizira pakufufuza kolondola komanso koyerekeza kumawonjezera kusinthasintha kwake.
Kuonjezera apo, FAISS imapereka njira yowonjezereka yogwiritsira ntchito ma dataset akuluakulu polola kuti ma index asungidwe pa disk.
Fayilo yotembenuzidwa, kuchuluka kwazinthu (PQ), ndi PQ yowongoleredwa ndi njira zingapo zatsopano zomwe zimapanga maziko ofufuzira a FAISS ndikuwonjezera mphamvu yake ikafika pakulondolera ndikufufuza minda yama vector apamwamba kwambiri.
Njirazi zimalimbikitsidwa ndi njira zotsogola monga ma algorithms a GPU-accelerated k-selection algorithms ndi kusefatu kwa mtunda wa PQ, kutsimikizira kuthekera kwa FAISS kutulutsa zotsatira zakusaka mwachangu komanso zolondola ngakhale pamaseti mabiliyoni ambiri.
mitengo
Ndi yaulere kuti igwiritsidwe ntchito kwa aliyense.
3. Chipaini
Pinecone ndi mtsogoleri wazosewerera zama vector, opereka ntchito yamtambo, yoyendetsedwa bwino yomwe imamangidwa makamaka kuti ipititse patsogolo magwiridwe antchito amphamvu kwambiri a AI.
Amapangidwa makamaka kuti azitha kuyika ma vector, omwe ndi ofunikira pakupanga AI, kusaka kwa semantic, ndi kugwiritsa ntchito zilankhulo zazikulu.
AI tsopano nditha kumvetsetsa zambiri za semantic chifukwa cha zoyika izi, zomwe zimakhala ngati kukumbukira kwanthawi yayitali pantchito zovuta.
Pinecone ndi yapadera chifukwa imaphatikizanso kuthekera kwa nkhokwe zachikhalidwe ndi magwiridwe antchito apamwamba a ma vector indexes, zomwe zimathandiza kusunga koyenera komanso kwakukulu ndikufunsa mafunso oyika.
Izi zimapangitsa kukhala njira yabwino kwambiri munthawi yomwe zovuta ndi kuchuluka kwa data zomwe zimakhudzidwa zimapangitsa kuti nkhokwe zokhazikika za scalar zikhale zosakwanira.
Pinecone imapatsa opanga njira yothetsera mavuto chifukwa cha njira yake yoyendetsera ntchito, yomwe imathandizira kuphatikizika ndi njira zenizeni zopezera deta.
Ntchito zambiri zama data zimathandizidwa ndi izo, kuphatikiza kutenga, kukonzanso, kufufuta, kufunsa, ndi kukweza deta.
Pinecone imatsimikiziranso kuti mafunso omwe akuyimira zosintha zenizeni zenizeni monga zosokoneza ndi zochotsa amapereka mayankho olondola, otsika pang'ono pama index okhala ndi mabiliyoni a ma vector.
Muzochitika zosinthika, mawonekedwewa ndi ofunikira kuti musunge kufunika ndi kutsitsimuka kwa zotsatira za mafunso.
Kuphatikiza apo, mgwirizano wa Pinecone ndi Airbyte kudzera pa kugwirizana kwa Pinecone kumawonjezera kusinthasintha kwake ndi kusinthasintha, kulola kusakanikirana kwa deta kuchokera kuzinthu zosiyanasiyana.
Kupyolera mu ubalewu, ndalama ndi zogwirira ntchito zingathe kukonzedwa bwino powonetsetsa kuti chidziwitso chongopezedwa chatsopano chikuyendetsedwa kupyolera mwa kugwirizanitsa deta.
Mapangidwe a cholumikizira amagogomezera kuphweka, kumangofunika magawo ochepa okhazikitsira, ndipo ndi otalikirapo, kulola kuwongolera kwamtsogolo.
mitengo
Mitengo imayambira pa $5.80/mwezi pa nkhani yogwiritsa ntchito RAG.
4. Sungani
Weaviate ndi nkhokwe yaukadaulo ya vector yomwe imapezeka ngati pulogalamu yotsegula yomwe imasintha momwe timafikira ndikugwiritsa ntchito deta.
Weaviate imagwiritsa ntchito kusaka kwa vekitala, komwe kumathandizira kusaka kwakanthawi, kozindikira zochitika pamasamba akulu akulu, ovuta, mosiyana ndi nkhokwe wamba zomwe zimadalira milingo ya scalar ndi mafunso omwe adafotokozedweratu.
Ndi njirayi, mutha kupeza zomwe zili molingana ndi momwe zikufanana ndi zina, zomwe zimapangitsa kusaka bwino komanso kufunika kwazotsatira.
Kuphatikiza kwake kosalala ndi zitsanzo zamakina ophunzirira ndi chimodzi mwazinthu zake zazikulu; izi zimathandiza kuti zigwire ntchito ngati zambiri kuposa njira yosungiramo deta; imathandizanso kuti deta imvetsetsedwe ndikuwunikidwa pogwiritsa ntchito luntha lochita kupanga.
Zomangamanga za Weaviate zimaphatikiza kuphatikiza uku bwino, zomwe zimapangitsa kuti athe kusanthula deta yovuta popanda kugwiritsa ntchito zida zowonjezera.
Thandizo lake la zitsanzo za ma graph data limaperekanso malingaliro osiyana pa data monga mabungwe olumikizidwa, kuwonetsa machitidwe ndi zidziwitso zomwe zingasowe muzomangamanga wamba wamba.
Chifukwa cha kamangidwe ka Weaviate, makasitomala amatha kuwonjezera maluso monga kuwonetsa deta ndi kupanga zosunga zobwezeretsera pakufunika.
Mtundu wake wofunikira umagwira ntchito ngati nkhokwe ya akatswiri a data, ndipo imatha kukulitsidwa ndi ma module ena kuti akwaniritse zosowa zosiyanasiyana.
Kuchulukira kwake kumakulitsidwanso ndi kapangidwe kake ka ma modular, komwe kumatsimikizira kuti liwiro silingaperekedwe poyankha kuchuluka kwa ma data ndi kufunsa mafunso.
Njira yosunthika komanso yothandiza yolumikizirana ndi deta yosungidwa imatheka chifukwa cha thandizo la database ya RESTful ndi GraphQL API.
Makamaka, GraphQL imasankhidwa chifukwa cha kuthekera kwake kuchita mwachangu mafunso ovuta, otengera ma graph, kupangitsa ogwiritsa ntchito kupeza ndendende zomwe akufuna popanda kupeza zambiri kapena zosakwanira za data.
Weaviate ndiyosavuta kugwiritsa ntchito m'malaibulale osiyanasiyana amakasitomala komanso zilankhulo zamapulogalamu chifukwa cha API yake yosinthika.
Kwa iwo omwe akufuna kufufuza Weaviate mopitilira, pali zolembedwa zambiri ndi maphunziro omwe akupezeka, kuyambira pakukhazikitsa ndikusintha chitsanzo chanu mpaka kulowa mwakuya mumphamvu zake monga kusaka vekitala, kuphatikiza kuphunzira makina, ndi kapangidwe ka schema.
Mutha kupeza ukadaulo wamphamvu womwewo womwe umapangitsa kuti chidziwitso chiziyenda bwino komanso kuchitapo kanthu ngati mutasankha kugwiritsa ntchito Weaviate kwanuko, mu mtambo kompyuta chilengedwe, kapena kudzera mu ntchito yamtambo yoyendetsedwa ndi Weaviate
mitengo
Mitengo yamtengo wapatali ya nsanja imayambira pa $25/mwezi kwa opanda seva.
5. Chroma
Chroma ndi nkhokwe yaukadaulo yomwe cholinga chake ndikusintha katengedwe ndi kasungidwe ka deta, makamaka pakugwiritsa ntchito makina ophunzirira ndi luntha lochita kupanga.
Popeza Chroma imagwira ntchito ndi ma vector m'malo mwa manambala a scalar, mosiyana ndi nkhokwe zokhazikika, ndiyabwino kwambiri pakuwongolera deta yapamwamba, yovuta.
Uku ndikupita patsogolo kwakukulu kwaukadaulo wotengera deta chifukwa kumathandizira kusaka kwanthawi yayitali kutengera kufanana kwazinthu zomwe zili m'mawuwo m'malo motengera mawu ofunikira.
Khalidwe lodziwika bwino la Chroma ndikutha kugwira ntchito ndi mayankho angapo osungira, monga ClickHouse pazosintha zingapo ndi DuckDB pakuyika koyimirira, kutsimikizira kusinthasintha komanso kusinthika kumagwiritsidwe ntchito osiyanasiyana.
Chroma imapangidwa ndi kuphweka, kuthamanga, ndi kusanthula m'maganizo. Imapezeka kwa opanga ambiri omwe ali ndi ma SDK a Python ndi JavaScript/TypeScript.
Kuphatikiza apo, Chroma imagogomezera kwambiri kuyanjana kwa ogwiritsa ntchito, kulola opanga kuti akhazikitse mwachangu nkhokwe yokhazikika yothandizidwa ndi DuckDB kapena nkhokwe yokumbukira kuti ayesedwe.
Kutha kupanga zinthu zosonkhanitsira zomwe zimafanana ndi matebulo m'malo osungira wamba, pomwe zolemba zitha kuyikidwa ndikusinthidwa kukhala zophatikizira pogwiritsa ntchito mitundu monga-MiniLM-L6-v2, kumawonjezera kusinthasintha uku.
Zolemba ndi zoyika zimatha kuphatikizidwa bwino, zomwe ndizofunikira pamapulogalamu omwe amafunikira kumvetsetsa semantics ya data.
Maziko a njira yofananira ya vekitala ya Chroma ndi mfundo zamasamu za orthogonality ndi kachulukidwe, zomwe ndizofunikira kuti timvetsetse kuyimira ndi kufananiza kwa data mu nkhokwe.
Malingaliro awa amalola Chroma kuti afufuze momveka bwino komanso moyenera mofananira poganizira kulumikizana kwamalingaliro pakati pa data.
Zida monga maphunziro ndi malangizo amapezeka kwa anthu omwe akufuna kufufuza Chroma mopitilira. Zimaphatikizanso malangizo atsatanetsatane amomwe mungakhazikitsire nkhokwe, kupanga zosonkhanitsira, ndikufufuza zofananira.
mitengo
Mutha kuyamba kugwiritsa ntchito kwaulere.
6. Vespa
Vespa ndi nsanja yomwe ikusintha kasamalidwe ka intaneti kwa AI ndi data yayikulu.
Cholinga chachikulu cha Vespa ndikuthandizira kuwerengera kwa latency yotsika pamaseti akulu akulu, kukuthandizani kuti muzisunga, kuloza, ndikusanthula zolemba, vekitala, ndi data yokhazikika.
Vespa imasiyanitsidwa ndi mphamvu yake yopereka mayankho ofulumira pamlingo uliwonse, mosasamala kanthu za mtundu wa mafunso, zosankha, kapena malingaliro opangidwa ndi makina omwe akuyendetsedwa.
Kusinthasintha kwa Vespa kumawonetsedwa mu injini yake yosakira komanso nkhokwe ya vekitala, yomwe imathandizira kusaka zambiri mkati mwa funso limodzi, kuyambira vekitala (ANN), lexical, ndi data yokhazikika.
Mosasamala kanthu za kukula kwake, mutha kupanga mapulogalamu osakira osavuta kugwiritsa ntchito komanso omvera omwe ali ndi kuthekera kwenikweni kwa AI chifukwa cha kuphatikiza uku kwamakina ophunzirira makina ndi deta yanu.
Komabe, Vespa ndi zambiri kuposa kungofuna; ndi za kumvetsetsa ndi makonda kukumana.
Zida zopangira zida zapamwamba komanso zopangira malingaliro zimapereka malingaliro amphamvu, apano omwe amaperekedwa kwa ogwiritsa ntchito kapena zochitika zina.
Vespa ndiwosintha masewera kwa aliyense amene akufuna kulowa nawo malo ochezera a AI, chifukwa imapereka zida zofunikira kuti zisungidwe ndikuwunika zolemba ndi ma vector mu nthawi yeniyeni, kulola kukulitsa kwa othandizira apamwamba komanso othandiza a AI.
Ndi ma tokenization athunthu komanso mafotokozedwe ake, kusaka kwamawu athunthu, kusaka koyandikana nawo pafupi, ndi mafunso okhazikika a data zonse zimathandizidwa ndi kuthekera kwamafunso kwapulatifomu.
Zimasiyana chifukwa zimatha kuthana ndi mafunso ovuta pophatikiza magawo angapo osakira.
Vespa ndi makina opangira mphamvu a AI ndi makina ophunzirira makina chifukwa injini yake yowerengera imatha kuthana ndi masamu ovuta pama scalar ndi ma tensor.
Pogwira ntchito, Vespa imapangidwa kuti ikhale yosavuta kugwiritsa ntchito komanso yowonjezera.
Imawongolera njira zobwerezabwereza, kuyambira pakukonzekera dongosolo ndi chitukuko cha ntchito kupita ku deta ndi kasamalidwe ka node, zomwe zimathandiza kuti ntchito zotetezeka komanso zosasokonezedwa zitheke.
Zomangamanga za Vespa zimatsimikizira kuti zimakula ndi deta yanu, kusunga kudalirika kwake ndi ntchito zake.
mitengo
Mutha kuyamba kugwiritsa ntchito kwaulere.
7. Quadrant
Qdrant ndi nsanja yosinthika ya vekitala yomwe imapereka mphamvu zapadera kuti zikwaniritse zomwe zikukula za AI ndi kugwiritsa ntchito makina ophunzirira.
Pamaziko ake, Qdrant ndi injini yofufuzira yofanana ndi vekitala yomwe imapereka API yosavuta kugwiritsa ntchito posungira, kupeza, ndi kusunga ma vectors komanso data yolipira.
Izi ndizofunikira pamapulogalamu angapo, monga kusaka kwa mawu ndi malingaliro, omwe amafunikira kutanthauzira mitundu yovuta ya data.
Pulatifomuyi imamangidwa ndi luso komanso scalability m'malingaliro, yomwe imatha kunyamula ma dataset akuluakulu okhala ndi mabiliyoni a ma data.
Imapereka ma metric amtunda angapo kuphatikiza Cosine Similarity, Euclidean Distance, ndi Dot Product, ndikupangitsa kuti ikhale yosinthika pamawonekedwe ambiri ogwiritsa ntchito.
Mapangidwewa amapereka zosefera zovuta, monga zingwe, mitundu, ndi zosefera za geo, kuti zikwaniritse zosowa zosiyanasiyana zosaka.
Qdrant imapezeka kwa omanga m'njira zosiyanasiyana, kuphatikiza chithunzi cha Docker kuti chikhazikike mwachangu kwanuko, kasitomala wa Python kwa omwe ali omasuka ndi chilankhulocho, komanso ntchito yamtambo kuti ikhale yolimba, yopanga malo opangira.
Kusintha kwa Qdrant kumalola kuphatikizika kosasunthika ndi kasinthidwe kalikonse kaukadaulo kapena zosowa zamachitidwe.
Kuphatikiza apo, mawonekedwe a Qdrant osavuta kugwiritsa ntchito amathandizira kasamalidwe ka database ya vekitala. Pulatifomuyi ikuyenera kukhala yowongoka kwa ogwiritsa ntchito pamaluso onse, kuyambira kupanga magulu mpaka kupanga makiyi a API kuti athe kupeza bwino.
Kuthekera kwake kokweza kwambiri komanso API ya asynchronous imapangitsa kuti ikhale chida chothandiza kwambiri kwa opanga omwe ali ndi data yochulukirapo.
mitengo
Mutha kuyamba kuigwiritsa ntchito kwaulere ndipo mitengo yamtengo wapatali imayambira pa $25 pa node/mwezi wolipira ola lililonse.
8. Astra
Kuthekera kwapamwamba kwa ma vector a AstraDB ndi mamangidwe opanda seva akusintha ma AI opangira.
AstraDB ndi njira yabwino kwambiri yothanirana ndi kusaka movutikira, kosakhudzidwa ndi zochitika pamitundu yosiyanasiyana ya data popeza idamangidwa pamaziko olimba a Apache Cassandra ndikuphatikiza mosasunthika, kukhazikika, ndi magwiridwe antchito.
Kuthekera kwa AstraDB kuthana ndi zolemetsa zambiri, kuphatikiza kusanja, kusakhala vekitala, ndi data ya vector, ndikusunga kutsika kotsika kwambiri pakufunsa ndikusintha nthawi imodzi, ndi chimodzi mwazabwino zake zodziwika bwino.
Kusintha kumeneku ndikofunikira pamapulogalamu amtundu wa AI, omwe amafunikira kusanja komanso kukonza nthawi yeniyeni kuti apereke mayankho olondola, odziwa zochitika za AI.
Yankho lopanda seva lochokera ku AstraDB limapangitsa chitukuko kukhala chosavuta, kumasula opanga kuti aziyang'ana kwambiri pakupanga mapulogalamu apamwamba a AI m'malo moyang'anira zomangamanga zakumbuyo.
Kuchokera ku chitsogozo choyambira mwachangu kupita kumaphunziro akuzama pakupanga ma chatbots ndi njira zopangira, AstraDB imathandizira opanga mapulogalamu kuzindikira mwachangu malingaliro awo a AI kudzera ma API odalirika komanso malo olumikizirana osalala okhala ndi zida ndi nsanja zodziwika bwino.
Makina opanga ma Enterprise-grade AI ayenera kuyika patsogolo chitetezo ndi kutsata, ndipo AstraDB imapereka mbali zonse ziwiri.
Zozama zachitetezo chamabizinesi ndi ziphaso zotsatiridwa zimaperekedwa ndi iyo, kutsimikizira kuti mapulogalamu a AI opangidwa pa AstraDB amatsatira zinsinsi zolimba komanso malangizo oteteza deta.
mitengo
Mukhoza kuyamba kugwiritsa ntchito kwaulere ndipo imapereka chitsanzo cha malipiro-monga-iwe-pita.
9. Kutsegula
OpenSearch ikuwoneka ngati njira yosangalatsa kwa iwo omwe amafufuza nkhokwe zamakina, makamaka popanga makina osinthika, owopsa, komanso otsimikizira zamtsogolo za AI.
OpenSearch ndi nkhokwe yophatikizika, yotseguka yophatikizika yomwe imaphatikiza mphamvu za analytics, kusaka kwaposachedwa kwa vector, ndi kusaka wamba mu dongosolo limodzi logwirizana.
Pogwiritsa ntchito makina ophatikizira ophunzirira pamakina kuti alembe tanthauzo ndi mawonekedwe amitundu ingapo ya data-zolemba, zithunzi, ndi zomvera-kukhala ma vectors ofufuza zofananira, kuphatikiza uku ndikothandiza makamaka kwa opanga omwe akuyang'ana kuphatikiza kumvetsetsa kwa semantic mu mapulogalamu awo osakira.
Ngakhale OpenSearch ili ndi zambiri zoti ipereke, ndikofunikira kukumbukira kuti poyerekeza ndi Elasticsearch, pakhala kusintha kocheperako kwamakhodi, makamaka m'magawo ovuta monga zilankhulo zolembera ndi ma processor a mapaipi omeza.
Elasticsearch ikhoza kukhala ndi luso lapamwamba kwambiri chifukwa cha kuyesetsa kwachitukuko, zomwe zimapangitsa kusiyana kwa machitidwe, mawonekedwe, ndi zosintha pakati pa ziwirizi.
OpenSearch imalipira anthu ambiri omwe amatsatira komanso kudzipereka kumalingaliro otseguka, zomwe zimapangitsa kuti pakhale nsanja yotseguka komanso yosinthika.
Imathandizira mapulogalamu osiyanasiyana kupitilira kufufuza ndi kusanthula, monga kuwunika ndi kusanthula chitetezo, ndikupangitsa kuti ikhale chida chosinthika chantchito zotengera deta.
Njira yoyendetsedwa ndi anthu imatsimikizira kupititsa patsogolo ndi kuphatikizika kosalekeza kuti nsanja ikhale yaposachedwa komanso yapadera.
mitengo
Mutha kuyamba kugwiritsa ntchito kwaulere.
10. Kusaka kwa Azure AI
Kusaka kwa Azure AI ndi nsanja yolimba yomwe imakulitsa luso lakusaka mkati mwa mapulogalamu a AI opanga.
Ndizodziwika bwino chifukwa zimathandizira kufufuza kwa vekitala, njira yolondolera, kusunga, ndi kubweza zoyika za vector mkati mwazosaka.
Izi zimathandiza kupeza zolemba zofananira mu vesi la vector, zomwe zimapangitsa kuti pakhale zotsatira zogwirizana ndi zomwe zikuchitika.
Kusaka kwa Azure AI kumasiyanitsidwa ndi kuthandizira kwake pazochitika zosakanizidwa, momwe kusaka kwa vekitala ndi mawu osakira kumachitika nthawi imodzi, zomwe zimapangitsa kuti pakhale zotsatira zolumikizana zomwe nthawi zambiri zimapambana mphamvu ya njira iliyonse yomwe imagwiritsidwa ntchito yokha.
Kuphatikizika kwa zinthu za vector ndi zopanda vekitala pamndandanda womwewo kumapangitsa kuti pakhale kusaka kokwanira komanso kosinthika.
Kusaka kwa vekitala mu Kusaka kwa Azure AI kumapezeka paliponse komanso kwaulere pamagulu onse a Azure AI Search.
Ndiwosinthika kwambiri pamagwiritsidwe osiyanasiyana komanso zokonda zachitukuko chifukwa chothandizira malo angapo otukuka, omwe amaperekedwa kudzera pa tsamba la Azure, MABWINO APA, ndi ma SDK a Python, JavaScript, ndi.NET, pakati pa ena.
Ndi kuphatikiza kwake kozama ndi chilengedwe cha Azure AI, Kusaka kwa Azure AI kumapereka zambiri kuposa kungosaka; imakulitsanso kuthekera kwa chilengedwe pakugwiritsa ntchito zopanga za AI.
Azure OpenAI Studio ya kuyika kwachitsanzo ndi Azure AI Services pobweza zithunzi ndi zitsanzo ziwiri zokha za ntchito zomwe zikuphatikizidwa pakuphatikiza uku.
Kusaka kwa Azure AI ndi yankho losinthika kwa opanga omwe akufuna kuphatikizira ntchito zofufuzira zapamwamba muzofunsira zawo chifukwa cha chithandizo chake chochulukirapo, chomwe chimathandizira magwiridwe antchito osiyanasiyana, kuyambira pakufufuza kofanana ndi kusaka kwamitundu yambiri mpaka kusaka kosakanizidwa ndi kusaka kwazilankhulo zambiri.
mitengo
Mutha kuyamba kuigwiritsa ntchito kwaulere ndipo mitengo yamtengo wapatali imayambira pa $0.11/ola.
Kutsiliza
Ma database a Vector akusintha kasamalidwe ka data mu AI poyang'anira ma vector apamwamba kwambiri, kulola kusaka kolimba kofanana ndi mafunso ofulumira apafupi ndi oyandikana nawo pamapulogalamu monga machitidwe opangira komanso kuzindikira zachinyengo.
Pogwiritsa ntchito ma aligorivimu otsogola, nkhokwezi zimasinthiratu zinthu zovuta zosasinthika kukhala ma vector ofunikira pomwe zimapereka liwiro komanso kusinthasintha komwe nkhokwe zachikhalidwe sizimatero.
Mapulatifomu odziwika akuphatikiza Pinecone, yomwe imawala muzopanga za AI; FAISS, yopangidwa ndi Facebook AI yophatikiza ma vector; ndi Milvus, yomwe imadziwika bwino chifukwa cha scalability komanso kamangidwe kamene kali ndi mitambo.
Weaviate imaphatikiza kuphunzira pamakina ndi kusaka kozindikira, pomwe Vespa ndi Chroma ndizodziwikiratu chifukwa cha kuthekera kwawo kocheperako komanso kugwiritsa ntchito mosavuta, motsatana.
Zosungirako za Vector ndi zida zofunika kwambiri popanga matekinoloje a AI ndi makina ophunzirira makina popeza nsanja monga Qdrant, AstraDB, OpenSearch, ndi Azure AI Search imapereka ntchito zosiyanasiyana kuchokera kumamangidwe opanda seva mpaka pakufufuza kwakukulu ndi kusanthula.
Siyani Mumakonda