LangChain
Framework for building LLM-powered applications with agents, tools and retrieval.
Official website / GitHub ↗ Visit
What is this technology for?
Its role in production environments and why it is taught in our curriculums.
LangChain is the framework for building LLM-powered applications — connecting models to agents, tools, memory and retrieval to create production AI assistants.
What you will learn
The hands-on skills you will gain on this technology in our curriculums.
- Build LLM chains and agents
- Connect models to tools and function calling
- Implement RAG with vector stores
- Deploy LangChain applications on OpenShift AI
Latest News & Ecosystem Updates
Recent innovations, major releases, and key industry milestones in the ecosystem.
LangGraph & LangChain v0.3: Standardized Stateful Multi-Agent Workflows
Multi-agent swarm coordination featuring persistent state, fault-tolerant execution graphs, and human-in-the-loop validation.
LangSmith: Production Tracing & Automated Output Quality Evaluation
Production observability tracking token expenditure, latency percentiles, and prompt fidelity.
Featured in the curriculum
Find this technology in the following modules of our Red Hat certified curriculums.
AS300 — AI Platform Engineer
View curriculum →
Projet final (setup + sprints + dry-run)
Projet · Module 11 — AS300
