LangChain
LangChain inzvimbo yakavhurika-sosi (uye kambani) yekuvaka zvikumbiro zvinofambiswa nemhando dzemitauro mikuru.
Pfupiso
It provides reusable building blocks for chaining LLM calls, connecting to data and tools, and orchestrating multi-step agents.
Kudzika Kwakadzika
Yakatangwa naHarrison Chase muna Gumiguru 2022, kwangosara nguva ye ChatGPT boom, LangChain yakave iyo inonyanya kufarirwa chimiro cheWiring LLMs mukushandisa chaiko. Chimiro chayo ndechekuti inobatsira LLM maapplication haawanzo kukurumidza kamwe chete; vanofona modhi yeketani, kutora magwaro, kufonera APIs, kuburitsa zvinobuda, uye kuchengetedza ndangariro. LangChain inomisa zvidimbu izvi nezvisungo zvekukurudzira, modhi, zvidzoreso, zvishandiso, uye 'ngetani.' Iyo LangChain Expression Mutauro (LCEL) inoita kuti vanogadzira vagadzire zvikamu zvine pombi-style syntax. Iyo kambani yakawedzera kuita chigadzirwa suite: LangGraph yekuvaka stateful, controllable agent workflows semagirafu; LangSmith yekutsvaga, kugadzirisa, uye kuongorora LLM mapurogiramu mukugadzira; uye LangServe kuti iendeswe. Inowanikwa muPython neJavaScript, ine makumi ezviuru zveGitHub nyeredzi uye yakafara bhizinesi kutorwa, kunyangwe vamwe vatsoropodzi vachipokana kuti mabatiro ayo anowedzera kuomarara kwemakesi ekushandisa ari nyore.
Technical Insight
Pamwoyo payo LangChain inhengo yekugadzira. Zvikamu zvinogovera yakajairwa Runnable interface, saka template yekukurumidza, LLM, uye inobuda parser inogona kuputirwa pamwe chete (yekukurumidza | modhi | parser) mune imwechete inofona. Nezvekudzoreredza-yakawedzera chizvarwa, inobatanidza embedding modhi uye vector zvitoro kuti itore yakakodzera mamiriro. LangGraph modhi vamiririri semuchina wehurumende, uchipa kudzora kwakajeka pamusoro pezvishwe, mapazi, uye maturusi ekufona.
Strategic Impact
Vendor strategy
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mutengo uye bhajeti
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Ngozi uye kuchengeteka
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Ramangwana reLangChain
LangChain iri kutenderera kubva mubhegi rekubata cheni yakanangana neagent orchestration, iine LangGraph semusimboti wevakavimbika, vamiririri vehurumende vanogona kumbomira, kutangazve, uye kusanganisira kuongorora kwevanhu. Tarisira kwakadzika kukoshesa kucherechedzwa uye kuongorora kuburikidza neLangSmith, sezvo zvikwata zvinofambisa LLM maapplication mukugadzira zvinoda kuyera mhando uye mutengo. Iyo yakafararira bheti: sezvo vamiririri vanova iyo inotungamira pateni, yakasimba orchestration uye debugging zvishandiso zvekushandisa zvakanyanya kupfuura nyore kuputira.
Real-World Implementation
Yekutanga inovaka gwaro Q&A bot iyo inotora yakakodzera maPDF ndima kubva muchitoro chevector uye inoapa kuLLM kune mhinduro dzakadzika.
Mugadziri anogadzira cheni inotora chikumbiro chemushandisi, inodaidza mamiriro ekunze API sechokushandisa, obva agadzira mhedzisiro kuita mhinduro ine hushamwari.
Bhizinesi rinoshandisa LangGraph kuvaka mutengi-rutsigiro uyo anofamba nematanho uye kumbomira kuti atenderwe nevanhu asati adzosera mari.
Chikwata chinoshandisa LangSmith kuteedzera nhanho yega yega yeinononoka kugadzira cheni, tsvaga iyo bhodhoro kufona, uye ongorora mhando yekupindura uchipesana nebvunzo seti.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Ramba Uchiongorora
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What is LangChain?
LangChain inzvimbo yakavhurika-sosi (uye kambani) yekuvaka zvikumbiro zvinofambiswa nemhando dzemitauro mikuru. Inopa zvivakwa zvekuvaka zvinogoneka zvekubatanidza LLM mafoni, kubatanidza kune data uye maturusi, uye kuronga akawanda-nhanho vamiririri.
Ndeipi pfungwa yepakati kumashure kweLangChain?
LangChain inopa zvivharo zvekuvaka zvinogoneka kuchenera LLM mafoni, batanidza data nematurusi, uye orchestrate agents.
Ndiani akasika LangChain uye rinhi?
Harrison Chase akatanga LangChain muna Gumiguru 2022, ChatGPT maapplication eLLM asati afarirwa.
Chii chinonzi LangGraph chinoshandiswa mukati meLangChain ecosystem?
LangGraph modhi vamiririri semuchina wehurumende / girafu, ichipa kutonga kwakajeka pamusoro pezvishwe, mapazi, uye maturusi ekufona.
Ndeipi basa rekutanga reLangSmith?
LangSmith inopa kucherechedzwa: kutsvaga nhanho imwe neimwe, kugadzirisa nyaya, uye kuongorora inobuda mhando mukugadzira.
MuLangChain, chii chinonzi pombi syntax 'prompt | muenzaniso | parser' anomiririra?
Zvikamu zvinogovanisa Runnable interface, saka zvinogona kuumbwa neLangChain Expression Mutauro kuita pombi imwechete inodaidzwa.