The most hands-on courses on LLMs, RAG, AI Agents, LangGraph, Java, and Spring Boot. No videos. No fluff. Interactive lessons with code you run.
from langchain_openai import ChatOpenAI
from langchain.prompts import ChatPromptTemplate
# Build a RAG pipeline
model = ChatOpenAI(model="gpt-4o")
prompt = ChatPromptTemplate.from_template(
"Answer based on context: {context}"
)
chain = prompt | model
result = chain.invoke({
"context": docs
})
# ✓ RAG pipeline readyFrom absolute basics to production-ready systems.
From absolute basics to production-ready AI systems. LLMs, prompt engineering, RAG, agents, MCP, LangChain, LangGraph, and more.
What learners say about compilr courses.
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