Flowise: Iqonga eliBonakalayo elineKhowudi eNcinci neKhowudi yoMthombo eVulekileyo lee-Arhente ze-AI ne-RAG – Uphononongo oluBanzi.

#Flowise #Web3 #Crypto

I-Flowise (eboniswe kwi-Quasa.io/projects/flowise) liqonga eliphambili elinekhowudi yomthombo evulekileyo nelifuna ikhowudi encinci, eliguqula uphuhliso lwee-app ze-AI.

Esi sixhobo sokwakha ngokubonakalayo sivela kwi-FlowiseAI.com sixhobisa abaphuhlisi, amaqela nabantu abangabhalanga khowudi ukuba benze ii-app ze-LLM ezilungiselelwe iimfuno zabo, ii-chatbot, iinkqubo ezinee-arhente ezininzi nemibhobho ye-RAG ngokulandelelana kwemisebenzi okulula ukukuqonda kokutsala nokubeka—sivelisa ii-arhente ze-AI ezilungele ukusetyenziswa kwimveliso ngemizuzu, ngoxa sigqitha izakhelo ezifuna ukubhalwa kwekhowudi eninzi ezifana ne-LangChain esetyenziswa ngokuthe ngqo okanye i-AutoGen ngesantya, ngokufikeleleka nangokukwazi ukubeka iliso kwindlela ezisebenza ngayo.

Eyona njongo ye-Flowise kukusebenza njenge-“Figma ye-AI esebenza ngasemva,” ivumela abasebenzisi ukuba bakhe baze balungelelanise ingqiqo entsonkothileyo ye-LLM ngaphandle kokubhala ikhowudi enzulu. Iimpawu eziphambili ziquka i-Chatflow (ii-app ezilula zencoko), i-Agentflow (iinkqubo ezilungelelanisiweyo ezinee-arhente ezininzi), iindawo zokutsala nokubeka zee-LLM/iimelo zamanani/iindawo zokugcina iivektha ezingama-100+, ingxelo ye-Human-in-the-Loop, imibhobho ye-RAG (TXT, PDF, DOC, SQL, njl.), ukubekwa kweliso kwindlela yokusebenza ngexesha lokwenene (Prometheus/OpenTelemetry), i-API/iiwijethi ezifakelwayo zokusasaza ii-app, ukuzibambela okanye i-Cloud elawulwayo, nokudityaniswa ngaphandle kweengxaki nenkqubo yezixhobo ze-LangChain. Ixhasa ukulungiselelwa ngokupheleleyo ngokwee-SDK (TypeScript/Python) yaye iqinisekisa ukhuseleko nokukwazi ukwandisa umthamo okukumgangatho wamashishini, ngaphandle kokunyanzelwa ukuba uxhomekeke kumboneleli omnye.

Ifanele kakhulu abaphuhlisi abenza imifuziselo yokuqala yabancedisi be-AI, amashishini afakela i-AI kuhlalutyo okanye kumava abathengi, amashishini asaqalayo akha abancedisi bencoko, namaqela afuna i-RAG ekhawulezayo okanye ukulungelelaniswa kwee-arhente—ilawula ngokuzimeleyo yonke into ukususela kwizixhobo zangaphakathi ukuya kwii-app ezisetyenziswa luluntu.

Amandla ayo aphambili abonakala kubuchule bayo bokusebenza ngaphandle kwekhowudi nakukubhetyebhetye kwayo: Ukuphucula ngokuphindaphindiweyo ngokukhawuleza, ukulungisa iimpazamo ngokubonakalayo, ukukwazi ukubeka iliso kwindlela yokusebenza okwakhelwe ngaphakathi, nokukwazi ukusuka kwingcamango ukuya kwimveliso ngaphandle kokubhala ikhowudi ngokutsha. Uphuculo lwakutshanje luka-2026 (olwakhela phezu kokudityaniswa kwe-LangChain nokwamkelwa ngamashishini) longeza ukulungelelaniswa okuphambili kwe-Agentflow, inkxaso ephuculweyo yeentlobo ezininzi zedatha, ukwandiswa komthamo okukhawulezayo efini, ukulandelelana kwemisebenzi okuphuculweyo kwe-HITL, needeshibhodi ezakhelwe ngaphakathi zokubeka iliso kwindlela yokusebenza—luyenza yomelele ngakumbi ekusetyenzisweni apho kuninzi okusemngciphekweni.

Abasebenzisi bayayincoma kakhulu impembelelo yayo: “I-Flowise isivumela ukuba someleze kakhulu iqonga lethu lohlalutyo ngeempawu ze-AI ezithandwa ngabathengi bethu—sisenza imifuziselo yokuqala ngeeyure endaweni yeeveki!” (UMlawuli wezobuNjineli, USA), “Izinciphise kakhulu izibonelelo ezifunekayo kumava ethu edijithali — ngoku sisasaza abancedisi be-AI ngaphandle komgudu” (CTO, EU), kwaye “Ilula ngokwaneleyo ukwenza imifuziselo yokuqala kodwa inamandla ngokwaneleyo okusetyenziswa kwimveliso — iyiguqule ngokupheleleyo indlela esisebenza ngayo nge-AI” (UMlawuli oPhezulu we-DX ne-AI, AU). Yomelele ngokukhethekileyo ekwenzeni uphuhliso lwe-LLM lufikeleleke kuye wonke umntu, ekuvumela abangengoononjineli ukuba babe negalelo, nasekwandiseni umthamo wokulandelelana kwemisebenzi ye-AI ngeendleko ezifikelelekayo ngaphandle kokuncama ulawulo okanye ukukwazi ukubeka iliso kwindlela yokusebenza.

Ubuthathaka: Ukuzibambela kufuna ukusetwa kweziseko zokusebenza (nangona i-Cloud ikwenza kube lula); inguqulelo yasimahla enekhowudi yomthombo evulekileyo ifuna ukugcinwa ikwimeko entle; ukusetyenziswa okuphambili kwe-Agentflow okanye ukusetyenziswa ngomthamo omkhulu kuxhamla kwi-Cloud ehlawulelwayo/kwinkxaso yamashishini (amaxabiso afumaneka ngokubuza); ngamanye amaxesha kufuneka kuhlaziywe ukuhambelana kweendawo zokusebenza nee-LLM eziguquka ngokukhawuleza; yaye nangona isebenza ngokubonakalayo, ukukwazi ngokupheleleyo ukusebenzisa amatyathanga antsonkothileyo kusafuna ixesha lokufunda. Izibonelelo ezinjengamaxwebhu, iitempleyithi, uluntu lwe-Discord neesemina zewebhu zigqwesile, kodwa izifundo zevidiyo ezisebenzisanayo ezingakumbi zabaqalayo zingakhawulezisa ukwamkelwa kwayo. Ngokubanzi, kumaqela akha ii-app ze-AI ngokubonakalayo nangendlela evumela ukwandiswa komthamo, i-Flowise ibonelela ngesantya, ukuvuleleka nembuyekezo kutyalo-mali engenakuthelekiswa nanto ngobuchule bayo obutsha obufuna ikhowudi encinci nobuxhaswa yi-LangChain.

Isixhobo esinamandla kakhulu sokudala ii-arhente ze-AI ngokubonakalayo — fumana nomvuzo we-1 QUA nge-Quasa! 

Iinkwenkwezi ezi-4.8/5 (igqwesile ngokulula kokutsala nokubeka, ngamandla ee-arhente ezininzi nangokukwazi ukubeka iliso kwindlela yokusebenza; amanqaku ehle kancinane ngenxa yobunzima bokuzibambela nokungacaci kwamaxabiso amashishini).

Qalisa: https://quasa.io/projects/flowise