Build sophisticated LLM applications with LangChain 1.x and LangGraph for agents, memory, and tool integration.

• LangGraph provides the standard agent framework with StateGraph for explicit state management, durable execution, human-in-the-loop inspection, and checkpointing across sessions
• Supports ReAct agents, plan-and-execute workflows, multi-agent supervision, and structured tool invocation with Pydantic schemas
• Memory systems include ConversationBufferMemory, ConversationSummaryMemory, VectorStoreRetrieverMemory, and persistent PostgreSQL checkpointers for production deployments
• Integrates with LangSmith for request logging, token tracking, latency monitoring, and trace visualization; includes custom callback handlers for fine-grained observability
• Document processing pipeline covers loading, chunking, embedding, and retrieval; supports RAG patterns with vector stores like Pinecone and Chroma