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LangChain Tutorial
BOSS QUIZ
10 questions · 5 minutes · pass at 70% to clear the track.
05:00
Start
Q1.
Use system messages to…
from Prompt Templates
Control the assistant's persona/role
Send images
Run tools
Embed text
Q2.
Observability + eval tooling is…
from Agents
LangGraph
LangSmith
LangServe
LangSafe
Q3.
Bind tools to a chat model with…
from Tools
llm.bind_tools([…])
llm.tools([…])
llm.register([…])
llm.attach([…])
Q4.
RAG stands for…
from RAG Intro
Retrieval-Augmented Generation
Random Access Graph
Recurrent Adaptive Gates
Real Adversarial Gen
Q5.
A reusable templated prompt uses…
from Prompt Templates
ChatPromptTemplate
PromptString
TextTemplate
JinjaPrompt
Q6.
An agent is roughly…
from Agents
A chain that loops with tools + memory
A static prompt
A vector store
A retriever
Q7.
LangChain is…
from Intro
A model
A framework to compose LLM apps
A dataset
A GPU library
Q8.
A prompt is filled in with…
from Prompt Templates
.fill()
.format_messages() / .invoke()
.render()
.apply()
Q9.
A tool decorator gives an LLM…
from Tools
Memory
A callable function it can choose to invoke
A database
Logs
Q10.
Embeddings convert text into…
from RAG Intro
Images
Dense numeric vectors
JSON only
Audio
Submit
Back to LangChain Tutorial
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