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What Is LangChain? | IBM

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WelcomeOverviewAI agents versus AI assistantsWhat is agentic AI?Why is agentic AI important?Agentic AI versus generative AIOverviewAgentic engineeringAgentOpsTutorial: AgentOps with IBM Telemetry using watsonx OrchestrateBuilding AI agentsEvolution of AI agentsOverviewGoal-based agentModel-based reflex agentSimple reflex agentUtility-based agentOverviewWhat are agentic workflows?Tutorial: Agentic workflowsCommunicationLearningMemoryPerceptionPlanningReasoningWhat is tool calling?Tutorial: Ollama tool callingTutorial: LM Studio tool callingOverviewWhat is agent orchestration?Tutorial: Agent orchestrationHierarchical AI agentsWhat are multi-agent systems?Tutorial: crewAI multi-agent call analysisMulti-agent collaborationWhat is ReAct?Tutorial: LangGraph ReAct agentWhat is ReWOO?Tutorial: ReWOO reasoning agentOverviewWhat is ACP?Tutorial: ACP agent interoperabilityWhat is A2A protocol?Tutorial: A2A chat systemWhat is MCP?Tutorial: MCP integration with IBM BobTutorial: MCP serverOverviewWhat is agentic orchestration?Tutorial: Agent orchestrationMulti-agent collaborationTutorial: crewAI multi-agent call analysisOverviewAgentGPTWhat is AutoGen?Tutorial: AutoGen multi-agent RAGAutoGPTBabyAGIWhat is BeeAI?Tutorial: BeeAI agentic contract managementWhat is ChatDev?Tutorial: ChatDev ChatChainWhat is crewAI?Tutorial: crewAI retail shelf optimizationIBM watsonx agentsWhat is LangChain?Tutorial: LangChain agentWhat is LangGraph?Tutorial: LangGraph SQL agentTutorial: LangGraph ReAct agentWhat is Langflow?Tutorial: Custom Langflow agent with watsonx OrchestrateWhat is MetaGPT?Tutorial: Multi-agent PRD automationOverviewAI agent ethicsWhat is AI agent evaluation?Tutorial: AI agent evaluationTutorial: AI agent observabilityAI agent securityTutorial: Human-in-the-loopOverviewTutorial: LangChain agentic RAGWhat is agentic chunking?Tutorial: Agentic chunking for RAGTutorial: Corrective RAGOverviewAutomationCustomer serviceFinanceHealthcareHuman resourcesMarketingProcurementRevOpsSalesSupply chainDave BergmannCole Strykerlarge language models (LLMs)APIschatbotsAI agentsfoundation modelsopen sourceChatGPTgenerative AIautomationnatural language processing (NLP)intelligent searchquestion-answeringsummarizationAI agentsrobotic process automationdatasetsintegrate with SlackAPIorchestrationIBM watsonxGraniteHugging FaceIBM watsonxpartnership with Hugging FaceCustomLLM classIBM watsonx APIs and Python SDKproject IDprompt engineeringdocument loadersvector databasesunsupervised learning methodsVector embeddingsretrieval augmented generation (RAG)build agentic RAG systemsAgenic RAGLangChain toolsagentthinkplanlearnReAct agentsWatsonxLLMChatWatsonxtutorialsLangGraphagentic workflowsAI agent workflowchatbotsother agent-based systemsdebugevaluationobservabilityavailable for download on GithubLangChain tool callingagentic RAGLLM agent orchestration agentic chunkingmoresynthetic datamachine learning

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