Pipeline mmịpụta data AI
Pipeline mwepu data AI na-atụgharị isi mmalite adịghị mma dị ka PDF, ozi ịntanetị na ụdị nyocha ka ọ bụrụ data ahaziri ahazi.
Nchịkọta
They automate the slow, error-prone work of getting information out of documents and into databases.
Ime miri emi
Pipeline mmịpụta data AI na-etinye ntinye, akwụkwọ ọnụahịa, nkwekọrịta, malitegharịa, ụdị nyocha, ibe weebụ, wee wepụta ndekọ ahaziri ahazi dabara na atụmatụ akọwapụtara. Otu ọkpọkọ a na-ahụkarị nwere usoro: tinye faịlụ ahụ, mee OCR ma ọ bụ nhazi nhazi iji nwetaghachi ederede na nhazi ya, kpachie ma hichaa ya, wee jiri ụdị asụsụ wepụ akụkụ ụfọdụ n'ime usoro siri ike dị ka JSON. Ọkpụkpọ ọkpọkọ ọgbara ọhụrụ na-adabere na nrụpụta na-akpachapụ anya ma ọ bụ na-arụ ọrụ nke mere na ihe nlereanya ahụ weghachite nke ọma ubi ị rịọrọ, yana ụdị mmanye. Ọkwa nkwado na-enyocha nsonaazụ ya, a na-ebugara mmadụ ihe enweghị ntụkwasị obi. Ngwa na ọba akwụkwọ dịka LangChain, LlamaIndex, AWS Textract, na Google Document AI na-achịkọta ọkwa ndị a. Nkwụghachi ụgwọ ahụ na-ahazi puku kwuru puku akwụkwọ na ntakịrị ọnụ ahịa akwụkwọ ntuziaka.
Nghọta nka nka
Isi ngbanwe sitere na sistemu ochie na-esi na ndebiri kekukuku na regex gaa na LLM nke schema na-eduzi. Pipeline na-eji oku arụ ọrụ ma ọ bụ mmachi JSON-schema ka a na-amanye mmepụta ihe nlereanya n'ime mpaghara pịnyere, na-ebelata mperi nzacha. Maka dọkụmentị, nleba anya okirikiri nhọrọ ukwuu ma ọ bụ OCR na-echekwa tebụl na nhazi ụdị tupu mmịpụta. Ntụkwasị obi na iwu nkwado (dịka ọmụmaatụ, ngụkọta ga-agbakwunye, ụbọchị ga-adị mma) ejidere njehie, na ihe ọ bụla na-ejighị n'aka ka egosipụtara maka nyocha mmadụ kama ịgafe n'obere mmiri.
Mmetụta atụmatụ
Mee nhọrọ
Nhazi ọkwa-ngwa na-ekpebi ma AI ọ na-eme ka ezigbo nsonaazụ.
Team na usoro ọrụ
Ngwakọta arụmọrụ dị mma na-emepụta uru nrụpụta ọrụ ndị ọrụ nwere ike ịtụkwasị obi.
Ihe ize ndụ na nchekwa
Usoro eji eme ihe nke ọma na-ebelata ike ọgwụgwụ mgbanwe na ihe ize ndụ mmejuputa.
Ọdịnihu nke pipeline mmịpụta data AI
Mwepụta na-aghọ multimodal na njedebe ruo na njedebe, yana ụdị na-agụ ihe oyiyi ibe ahụ kpọmkwem kama ịdabere na nzọụkwụ OCR dị iche, na-emeziwanye izi ezi na tebụl mgbagwoju anya na aka ọdịde. Na-atụ anya dị ọnụ ala karịa, ngwa ngwa obere ụdị mma-nlegharị anya maka ụdị akwụkwọ dị iche iche, nkwenye onwe onye ka mma yana loops nzaghachi siri ike ebe ihe ndị emeziri na-azụghachi sistemụ ahụ. Ka ntụkwasị obi na-arị elu, ọtụtụ pipeline ga-agba ọsọ na-akpaghị aka maka ikpe ndị a na-eme kwa ụbọchị ma na-edobe nyocha mmadụ maka ezigbo ọnụ ahịa yana ndekọ dị elu.
Mmejuputa n'ezie n'ụwa
Otu ego na-ewepụta onwe na-ewepụta onye na-ere ahịa, ụbọchị, ihe ahịrị, yana mkpokọta sitere na puku akwụkwọ ọnụahịa PDF n'ime sistemụ ndekọ ego ha.
Ụlọ ọgwụ na-adọta ubi ahaziri ahazi site na mpempe akwụkwọ nri enyochara na faxed n'ime ndekọ ahụike eletrọnịkị.
Otu ụlọ ọrụ logistics na-agụ ụgwọ nke ibu na akwụkwọ kọstọm iji mejupụta ọdụ data nleba anya mbupu.
Otu ndị ọka iwu na-ewepụta nnọkọ, ụbọchị, na nkebiokwu ndị bụ isi n'ọtụtụ narị nkwekọrịta iji wuo ndebanye ọrụ enwere ike ịchọ.
Ihe ize ndụ & okporo ụzọ nche
Ime ka usoro gbajiri agbaji nwere ike ịbawanye nsogbu ndị dị adị.
Otu dị iche iche nwere ike megharịa ma wepụ ikpe mmadụ chọrọ.
Ogo nwere ike ịfegharị ma ọ bụrụ na enyochaghị nsonaazụ ya.
Map mmejuputa
Map usoro ọrụ dị ugbu a wee chọpụta usoro mgbagha kachasị elu.
Kọwaa ebe nlele mmadụ tupu akpaaka zuru oke.
Zụlite ndị ọrụ na mkpali, ụzọ mmụba, na ụkpụrụ ịdị mma.
Soro nsonaazụ ọkwa-ọrụ iji kwado uru na-adịgide adịgide.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Pipeline injinia na ụdị data njiri mara
Ajụjụ a na-ajụkarị
What is AI Data Extraction Pipelines?
Pipeline mwepu data AI na-atụgharị isi mmalite adịghị mma dị ka PDF, ozi ịntanetị na ụdị nyocha ka ọ bụrụ data ahaziri ahazi. Ha na-emezigharị ọrụ na-adị nwayọọ, nke na-adịghị emebi emebi nke inweta ozi na akwụkwọ na n'ime ọdụ data.
Kedu ihe bụ isi ebumnuche nke pipeline mmịpụta data AI?
Pipeline ndị a na-agbanwe ntinye adịghị mma dị ka PDFs wee mepụta ka ọ bụrụ ndekọ ahaziri ahazi nke dabara na atụmatụ akọwapụtara, dị njikere maka nchekwa data.
Kedu ihe kpatara pipeline ọgbara ọhụrụ ji eji arụpụta ihe na-akpachapụ anya ma ọ bụ na-arụ ọrụ?
Na-amachibido mmepụta na schema (site na ịkpọ ọrụ ma ọ bụ atụmatụ JSON) na-amanye ihe nlereanya ahụ n'ime pịnye, nke a na-ahụ anya ma na-ebelata mperi nzacha.
Kedu ọrụ nke OCR ma ọ bụ nhazi nhazi nhazi?
OCR na nleba anya-maara nhazi na-eweghachite ederede na nhazi nhazi (dị ka tebụl na ụdị) yabụ ụdị mmịpụta nwere ndenye ahaziri ahazi.
Kedu ka pipeline ndị a haziri nke ọma na-esi edozi mwepu enweghị ntụkwasị obi?
A na-edobere ihe ndị ejighị n'aka ma ọ bụ nke enweghị ntụkwasị obi ma zigara onye nyocha mmadụ kama ibufe ya na mmiri na-enyochaghị ya.
Kedu otu ihe atụ nke iwu nkwado n'ụdị ọkpọkọ ahụ?
Nkwenye mgbagha na-enyocha ngbanwe dị n'ime, dị ka mkpokọta mkpokọta nke ọma yana ụbọchị dị irè, iji jide mperi mmịpụta na-akpaghị aka.