UMHLAHLANDLELA Wezinkampani

I-LangChain

I-LangChain iwuhlaka lomthombo ovulekile (kanye nenkampani) lokwakha izinhlelo zokusebenza ezixhaswe amamodeli ezilimi ezinkulu.

2 amaminithi ukufundaIgcine ukubuyekezwa

Uhlolojikelele

It provides reusable building blocks for chaining LLM calls, connecting to data and tools, and orchestrating multi-step agents.

I-Deep Dive

Yethulwe ngu-Harrison Chase ngo-Okthoba 2022, ngaphambi nje kwe-boom ChatGPT, i-LangChain ibe uhlaka oludume kakhulu lokufaka izintambo kuma-LLM kuzinhlelo zokusebenza zangempela. Isisekelo salo siwukuthi izinhlelo zokusebenza ze-LLM eziwusizo azivamisile ukuba zibe nokwaziswa okukodwa; bahlanganisa amakholi wamamodeli, babuyise amadokhumenti, bashayele ama-API, bahlaziye imiphumela, futhi bagcine inkumbulo. I-LangChain ilinganisa lezi zingcezu ngokufinyezwa kokwaziswa, amamodeli, ama-retriever, amathuluzi, kanye 'namaketanga.' I-LangChain Expression Language (LCEL) ivumela abathuthukisi ukuthi baqambe izingxenye nge-syntax yesitayela sepayipi. Inkampani yanda yaba yisudi yomkhiqizo: I-LangGraph yokwakha ukugeleza komsebenzi kwe-ejenti elawulekayo njengamagrafu; I-LangSmith yokulandelela, ukulungisa iphutha, nokuhlola izinhlelo zokusebenza ze-LLM ekukhiqizweni; kanye neLangServe ukuze isetshenziswe. Itholakala ku-Python ne-JavaScript, inamashumi ezinkulungwane zezinkanyezi ze-GitHub kanye nokutholwa kwebhizinisi elibanzi, nakuba abanye abagxeki bephikisa ukuthi ukunyuswa kwayo kwengeza ubunkimbinkimbi bamacala okusebenzisa alula.

I-Technical Insight

Enhliziyweni yayo i-LangChain iyisendlalelo sokuqamba. Izingxenye zabelana ngesixhumi esibonakalayo esivamile esiSebenzayo, ngakho-ke isifanekiso esisheshayo, i-LLM, nomhlahleli ophumayo kungaxhunywa ndawonye (okusheshayo | imodeli | umhlaseli) kube kokushayeleka okukodwa. Ngokukhiqiza okuthuthukisiwe kokubuyisa, ixhuma amamodeli wokushumeka nezitolo ze-vector ukuze ilande okuqukethwe okufanelekile. Ama-ejenti amamodeli we-LangGraph njengomshini kahulumeni, anikeza ukulawula okucacile phezu kwezihibe, amagatsha, namakholi wamathuluzi.

I-Strategic Impact

Isu lomthengisi

Imephu yemigwaqo yabathengisi ithonya ukuthi yiziphi izici iqembu lakho elingazakha ngokulandelayo.

Izindleko kanye nesabelomali

Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi.

Ingozi nokuphepha

Izinxephezelo zenkampani zibumba okuzenzakalelayo komkhiqizo, ukuma kokuphepha, nokuvuleleka.

Ikusasa LangChain

I-LangChain izulazula isuka esikhwameni sokubamba amaketango ibheke ku-orchestration ye-ejenti, i-LangGraph iwumgogodla oqinile wama-ejenti athembekile, anamandla angama isikhashana, aqalise kabusha, futhi afake ukubuyekezwa komuntu. Lindela ukugcizelela okujulile ekubonakaleni nokuhlola nge-LangSmith, njengoba amaqembu ahambisa izinhlelo zokusebenza ze-LLM ekukhiqizweni adinga ukukala ikhwalithi nezindleko. Ukubheja okubanzi: njengoba ama-ejenti eba iphethini ehamba phambili, i-orchestration eqinile kanye nokulungisa amaphutha kubaluleke kakhulu kunokugoqa okulula.

Ukuqaliswa Komhlaba Wangempela

Isiqalisi sakha i-bot ye-Q&A yedokhumenti ebuyisa amavesi e-PDF afanelekile esitolo se-vector futhi iwaphakele ku-LLM ukuze uthole izimpendulo ezisekelwe phansi.

Unjiniyela uqamba uchungechunge oluthatha isicelo somsebenzisi, abize i-API yesimo sezulu njengethuluzi, bese efometha umphumela ube yimpendulo enobungane.

Ibhizinisi lisebenzisa i-LangGraph ukwakha umenzeli wokwesekwa kwamakhasimende ongena ezinyathelweni futhi ame isikhashana ukuze agunyazwe umuntu ngaphambi kokukhipha imbuyiselo.

Ithimba lisebenzisa i-LangSmith ukuze lilandelele zonke izinyathelo zochungechunge lokukhiqiza olunensayo, lithole ucingo lwe-bottleneck, futhi lihlole ikhwalithi yempendulo ngokuqhathanisa nesethi yokuhlola.

Izingozi & Guardrails

Izimemezelo zokwethula zingase zeqe ukuzinza ekugelezeni komsebenzi wangempela wokukhiqiza.

Izintengo ze-API noma izinguquko zenqubomgomo zingaphula ukucabanga ngobusuku obubodwa.

Ukuncika komthengisi oyedwa kukhulisa izindleko zokukhiya nokufuduka.

Ukuqalisa Umhlahlandlela

1

Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha.

2

Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa.

3

Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi.

4

Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu.

Qhubeka Uhlole

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What is LangChain?

I-LangChain iwuhlaka lomthombo ovulekile (kanye nenkampani) lokwakha izinhlelo zokusebenza ezixhaswe amamodeli ezilimi ezinkulu. Ihlinzeka ngamabhulokhi wokwakha asebenziseka kabusha okuhlanganisa amakholi e-LLM, ukuxhuma kudatha namathuluzi, nokuhlela ama-ejenti wezinyathelo eziningi.

Uyini umbono oyinhloko ngemuva kweLangChain?

I-LangChain ihlinzeka ngamabhulokhi wokwakha asebenziseka kabusha ukuze kuhlanganiswe izingcingo ze-LLM, ukuxhuma idatha namathuluzi, kanye nama-orchestrate agents.

Ubani owadala i-LangChain futhi cishe nini?

U-Harrison Chase wethule i-LangChain ngo-Okthoba 2022, ngaphambi nje kokuthi ChatGPT kudume izinhlelo zokusebenza ze-LLM.

Isetshenziselwa ini i-LangGraph ngaphakathi kwe-ecosystem ye-LangChain?

Ama-ejenti amamodeli we-LangGraph njengomshini/igrafu kahulumeni, enikeza ukulawula okucacile phezu kwamaluphu, amagatsha, namakholi wamathuluzi.

Iyiphi indima eyinhloko kaLangSmith?

I-LangSmith ihlinzeka ngokubonakala: ukulandelela isinyathelo ngasinye, izinkinga zokulungisa iphutha, nokuhlola ikhwalithi yokuphumayo ekukhiqizeni.

Ku-LangChain, i-syntax yepayipi ikhuthaza ini | imodeli | abamele umhlaseli?

Izingxenye zabelana nge-Runnable interface, ukuze zihlanganiswe ne-LangChain Expression Language zibe ipayipi elilodwa elibizelwayo.