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Prompt Engineering / GenAIml~5 mins

Vector database operations (CRUD) in Prompt Engineering / GenAI - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What does CRUD stand for in vector database operations?
CRUD stands for Create, Read, Update, and Delete. These are the four basic operations to manage data in a vector database.
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beginner
How is the 'Create' operation performed in a vector database?
Create means adding new vectors (data points) into the database. Each vector represents information like text or images in numeric form.
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beginner
What is the purpose of the 'Read' operation in vector databases?
Read means searching or retrieving vectors from the database. This often involves finding vectors similar to a query vector using similarity search.
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intermediate
Why is the 'Update' operation important in vector databases?
Update changes existing vectors to keep data accurate or add new information. For example, updating a vector after improving its representation.
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beginner
What happens during the 'Delete' operation in a vector database?
Delete removes vectors from the database when they are no longer needed, helping keep the database clean and efficient.
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Which operation adds new vectors to a vector database?
ARead
BDelete
CUpdate
DCreate
What does the 'Read' operation usually involve in vector databases?
AFinding similar vectors
BRemoving vectors
CChanging vector values
DAdding new vectors
Why might you perform an 'Update' on a vector in the database?
ATo delete old data
BTo add new vectors
CTo improve or correct the vector data
DTo search for vectors
Which CRUD operation helps keep the vector database clean by removing unwanted data?
ACreate
BDelete
CRead
DUpdate
In vector databases, what form do data points take?
AVectors of numbers
BImages only
CText strings
DAudio files
Explain the four CRUD operations in vector databases with simple examples.
Think about adding, finding, changing, and removing data.
You got /4 concepts.
    Describe why similarity search is important in the 'Read' operation of vector databases.
    Imagine finding friends who are most like you.
    You got /3 concepts.