Ci bi mu melGis bi ci topp
Cresta Centre de contact AI
Sosiete yi
GUIDE de sociétés
LangChain
LangChain offers components and integrations for LLM applications.
Déglul tegtal biiIA-nettali · ~1 min
Ci xët wii1 simili jàng
Résumé
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.
Plongeur bu xóot
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.
Doxal ci àdduna dëgg
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.
Ëlëgu 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.
Teg ko ci jëf
Lu tax mu am solo
- Pexem jaaykat. Kartu yoonu jaaykat yi ñooy wane man-man yi sa ekip mëna tabax ci kanam.
- Njëgg ak budget. Anamu jënd ak jaay ak tànneefi dugal dañu am njeexital ci njëg ak risk ci diir bu xawa yàgg.
- Risk ak kaaraange. Li liggéeyukaay bi di ñaax mooy tëral ni produit bi di doxee, kaaraange gi ak ubbeeku gi.
Moytul
- Koom-koomu ubbite mën na raw stabilite ci def liggéeyu defar dëgg.
- Njëg yi ci API wala coppite ci sàrt yi mën nañu dindi xalaat yi ci guddi gi.
- Dependence ci benn jaaykat dafay yokk njëgu tëjug ak migraasioŋ.
Jéego yi ci topp
- Saytu sa fournisseur yi nga jëfandikoo sa liggéey ak say done.
- Xoolaat mbir yu nëbbu, kaaraange ak sàrti yoon balaa ngay boole.
- Fexe am palaŋu fallback ci model yi wala jaaykat yi.
- Xool notu génne yi suko defee coppite yi ci kàrtu yoon du jaaxal ekip yi.
Weyal di banneexu
Bulletin bu amul fayda
Jàngal xibaar AI bu bes
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the LangChain quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
Luy 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.
Lan mooy xalaat bu mag bi ci ginaaw LangChain?
LangChain dafay joxe ay blok yuñ mëna jëfandikoowaat ngir boole woote LLM yi, boole ay done ak jumtukaay, ak defar ay ndawu liggéey.
Kan moo defar LangChain ak kañ?
Harrison Chase moo dugal LangChain ci weeru oktoobar 2022, balaa ñuy siiwal aplikaasioŋu LLM yi.
Lan lañuy jëfandikoo LangGraph ci biir ekosistem LangChain?
LangGraph dafay modele agent yi ni masin/graphe réew, di joxe njiit lu leer ci kaw loop yi, car yi ak woote jumtukaay yi.
Lan mooy wareefu LangSmith?
LangSmith dafay may ñu mëna seetlu: topp jéego bu nekk, saafara jafe-jafe yi, ak jàngat kalite biy génn ci liggéey bi.
Ci LangChain, lan lay laaj ci syntax pipe bi | model | parser' dafay wane?
Ëmbeef yi dañu bokk interfaasu Runnable, suko defee ñu mëna ko boole ak làkku Expression LangChain ci benn pipeline buñ mëna woo.
Weyal di jàng
Gid yu jëm ci loolu
Tann nañu yeneen njiit ngir topic bii