LangChain / LangGraph
Orchestration framework for agents and RAG pipelines
LangChain and its LangGraph agent-orchestration and LangSmith observability tools became a default developer scaffolding for building agentic and RAG applications. It sits between models and applications, shaping how enterprises wire tools, memory, and control flow. Its rise reflects that value is migrating to the orchestration layer above raw models.
How it fits the stack
LangChain / LangGraph with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.
LangChain / LangGraph in the AI stack. LangChain / LangGraph with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.
Graph data (text) — 3 entities, 2 relationships
- LangChain / LangGraph —uses→ Model Context Protocol (MCP)
- LangChain / LangGraph —uses→ Vector databases