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LangChain
LangChain offers components and integrations for LLM applications.
Teerera kugwaro iriAI-yakarondedzerwa · ~1 min
Pa peji ino1 min verenga
Pfupiso
LangGraph supports explicit stateful graph workflows, including persistence and human interruptions; LangSmith provides tracing and evaluation tools. These libraries provide mechanisms, while application developers choose the workflow and validation policy.
Kudzika Kwakadzika
LangChain provides reusable components for model calls, prompts, tools, and output handling. LangGraph represents execution as a graph with state; checkpointers make thread state available across pauses, and interrupts can route selected steps to a human. LangSmith supports tracing and evaluation, including dataset-based offline tests and production-trace online evaluations. These capabilities do not guarantee an agent is reliable without task-specific testing and controls.
Kuitwa muNyika yeChokwadi
Compose a prompt, chat model, and output parser as a sequence of application steps.
Use a LangGraph checkpointer to preserve thread state across an interrupted run.
Pause a graph at a human review step and resume after the reviewer supplies input.
Run a LangSmith offline evaluation on curated examples before changing an application.
Ramangwana reLangChain
For agentic applications, begin with bounded workflows, inspect traces, and evaluate representative cases. Add human review where the consequence of an action warrants it; framework features are implementation options rather than proof that a workflow is safe.
Kuzvishandisa
Nei zvichikosha
- Nzira yemutengesi. 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.
Chenjera
- 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.
Matanho anotevera
- 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
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the LangChain quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chinonzi LangChain?
LangChain offers components and integrations for LLM applications. LangGraph supports explicit stateful graph workflows, including persistence and human interruptions; LangSmith provides tracing and evaluation tools. These libraries provide mechanisms, while application developers choose the workflow and validation policy.
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.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi