Up tókànItọsọna atẹle
Cresta olubasọrọ Center AI
Awọn ile-iṣẹ
Awọn ile-iṣẹ Itọsọna
LangChain
LangChain offers components and integrations for LLM applications.
Gbọ si itọsọna yiiAI-ṣe afihan · ~1 min
Lori iwe yi1 iseju kika
Akopọ
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.
Jin Dive
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.
Real-World imuse
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.
Ojo iwaju ti LangChain
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.
Fifi o sinu iwa
Kini idi ti o ṣe pataki
- Ilana olutaja. Awọn maapu opopona olutaja ni ipa kini awọn ẹya ti ẹgbẹ rẹ le kọ ni atẹle.
- Iye owo ati isuna. Awọn ofin iṣowo ati awọn aṣayan imuṣiṣẹ ni ipa lori idiyele igba pipẹ ati eewu.
- Ewu ati ailewu. Awọn imoriya ile-iṣẹ ṣe apẹrẹ awọn abawọn ọja, iduro ailewu, ati ṣiṣi.
Ṣọra fun
- Awọn ikede ifilọlẹ le ju iduroṣinṣin lọ ni awọn iṣan-iṣẹ iṣelọpọ gidi.
- Ifowoleri API tabi awọn iyipada eto imulo le fọ awọn arosinu ni alẹ.
- Igbẹkẹle olutaja ẹyọkan ṣe alekun titiipa-inu ati awọn idiyele ijira.
Next awọn igbesẹ
- Ṣe ayẹwo awọn olupese nipa lilo awọn iṣẹ ṣiṣe tirẹ ati awọn ipilẹ data.
- Ṣe atunyẹwo asiri, aabo, ati awọn ofin ofin ṣaaju iṣọpọ.
- Ṣetọju eto ipadabọ kọja awọn awoṣe tabi awọn olutaja.
- Bojuto awọn akọsilẹ itusilẹ nitoribẹẹ awọn iyipada maapu oju-ọna ma ṣe iyalẹnu awọn ẹgbẹ.
Tesiwaju Ṣiṣawari
Ìwé ìròyìn ọfẹ
Gba ìkànìyàn AI ojoojúmọ́
Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.
Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.
Ṣe idanwo fun ara rẹ
Take the LangChain quiz
Ìdáhùn lẹ́sẹ̀kẹsẹ̀ lórí gbogbo ìdáhùn, àti iwe-ẹ̀rí tó lè pin pẹ̀lú ID tó lè jẹ́rìí lẹ́yìn tí o bá kọ́ ẹ̀kọ́.
Ṣe àtìlẹ́yìn ẹ̀kọ́ AI ọfẹ́. AI Understanding jẹ́ àjọ àìní èrè 501(c)(3) — kò sí ìpolówó, kò sí àkúnya owó, ní gbogbo àkókò. Ṣe ẹbun kan
Awọn ibeere ti a beere nigbagbogbo
What is 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.
Kini ero aarin lẹhin LangChain?
LangChain n pese awọn bulọọki ile atunlo lati de awọn ipe LLM, so data ati awọn irinṣẹ, ati awọn aṣoju orchestrate.
Tani o ṣẹda LangChain ati ni aijọju nigbawo?
Harrison Chase ṣe ifilọlẹ LangChain ni Oṣu Kẹwa ọdun 2022, ni kete ṣaaju ChatGPT awọn ohun elo LLM ti o gbajumọ.
Kini LangGraph ti a lo fun laarin ilana ilolupo LangChain?
Awọn aṣoju LangGraph ṣe apẹẹrẹ bi ẹrọ ipinlẹ kan/awọn aworan, fifun ni iṣakoso fojuhan lori awọn lupu, awọn ẹka, ati awọn ipe irinṣẹ.
Kini ipa akọkọ ti LangSmith?
LangSmith n pese akiyesi: wiwa igbesẹ kọọkan, awọn ọran ṣiṣatunṣe, ati iṣiro didara iṣelọpọ ni iṣelọpọ.
Ni LangChain, kini sintasi paipu 'tan | awoṣe | parser' aṣoju?
Awọn paati pin wiwo Runnable, nitorinaa wọn le ni akopọ pẹlu Ede Ikosile LangChain sinu opo gigun ti epo kan ti a le pe.
Tesiwaju kikọ
Jẹmọ awọn itọsọna
Awọn itọsọna diẹ sii ti a yan fun koko yii