Multi-query retrieval in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a list of queries for multi-query retrieval.

Prompt Engineering / GenAI

queries = ["What is AI?", [1], "Explain machine learning."]

Drag options to blanks, or click blank then click option'

ANone

B42

C"How does retrieval work?"

DTrue

Attempts:

3 left

💡 Hint

Common Mistakes

Using non-string values as queries.

Leaving the blank empty.

The list of queries must contain strings representing questions. Option C is a valid query string.

2fill in blank

medium

Complete the code to initialize the retrieval model for multi-query retrieval.

Prompt Engineering / GenAI

model = RetrievalModel([1]=True)

Drag options to blanks, or click blank then click option'

Abatch_size

Bmulti_query

Clearning_rate

Dnum_epochs

Attempts:

3 left

💡 Hint

Common Mistakes

Using unrelated parameters like batch_size or learning_rate.

Misspelling the parameter name.

The parameter 'multi_query=True' enables multi-query retrieval in the model initialization.

3fill in blank

hard

Fix the error in the code to correctly perform multi-query retrieval.

Prompt Engineering / GenAI

results = model.retrieve(queries=[1], top_k=5)

Drag options to blanks, or click blank then click option'

Aqueries

Bquery

Cquery_list

Dquerys

Attempts:

3 left

💡 Hint

Common Mistakes

Using singular 'query' instead of 'queries'.

Misspelling the parameter name.

The method expects the argument named 'queries' to receive the list of queries.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each query to its top result.

Prompt Engineering / GenAI

top_results = {q: results[[1]][[2]] for q in queries}

Drag options to blanks, or click blank then click option'

Aq

B0

C1

Dresults

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong keys or indices to access results.

Confusing the query variable with the results variable.

For each query q, results[q][0] gives the top result. So BLANK_1 is 'q' and BLANK_2 is '0'.

5fill in blank

hard

Fill all three blanks to filter queries and create a dictionary of their top results only if the score is above 0.8.

Prompt Engineering / GenAI

filtered_results = {q: results[q][[1]] for q in queries if results[q][[2]] [3] 0.8}

Drag options to blanks, or click blank then click option'

A0

B1

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up indices for result and score.

Using wrong comparison operators.

Index 0 accesses the top result, index 1 accesses the score. We filter where score > 0.8.

Practice

1. What is the main advantage of multi-query retrieval in search systems?

easy

A. It deletes irrelevant data automatically

B. It stores data in a smaller space

C. It improves the quality of a single search result

D. It runs many searches at once to get results faster

Solution

1. Step 1: Understand the purpose of multi-query retrieval

   Multi-query retrieval is designed to handle multiple search queries simultaneously.

2. Step 2: Identify the main benefit

   Running many searches at once speeds up getting results compared to running queries one by one.

3. Final Answer:

   It runs many searches at once to get results faster -> Option D

4. Quick Check:

   Multi-query retrieval = faster multiple searches [OK]

Hint: Think: multiple queries done together means faster results [OK]

Common Mistakes:

• Confusing speed with data storage
• Thinking it improves single query quality
• Assuming it deletes data automatically

2. Which of the following is the correct way to represent multiple queries for multi-query retrieval in Python?

easy

A. queries = ['query1', 'query2', 'query3']

B. queries = 'query1, query2, query3'

C. queries = {'query1': 1, 'query2': 2}

D. queries = query1 + query2 + query3

Solution

1. Step 1: Identify the correct data structure for multiple queries

   Multiple queries should be stored as a list of strings to keep them separate.

2. Step 2: Check each option

   queries = ['query1', 'query2', 'query3'] uses a list of strings, which is correct. queries = 'query1, query2, query3' is a single string, not multiple queries. queries = {'query1': 1, 'query2': 2} is a dictionary, which is not standard for query lists. queries = query1 + query2 + query3 tries to add strings, which concatenates them, not separate queries.

3. Final Answer:

   queries = ['query1', 'query2', 'query3'] -> Option A

4. Quick Check:

   List of strings = multiple queries [OK]

Hint: Use a list to hold multiple queries separately [OK]

Common Mistakes:

• Using a single string instead of a list
• Using a dictionary instead of a list
• Concatenating queries into one string

3. Given the following Python code for multi-query retrieval, what will be the output?

queries = ['apple', 'banana']
results = {q: q.upper() for q in queries}
print(results)

medium

A. {'apple': 'APPLE', 'banana': 'BANANA'}

B. ['APPLE', 'BANANA']

C. {'APPLE': 'apple', 'BANANA': 'banana'}

D. Error: invalid syntax

Solution

1. Step 1: Understand the dictionary comprehension

   The code creates a dictionary where each query string is a key, and its uppercase version is the value.

2. Step 2: Evaluate the comprehension for each query

   For 'apple', the pair is 'apple': 'APPLE'; for 'banana', 'banana': 'BANANA'.

3. Final Answer:

   {'apple': 'APPLE', 'banana': 'BANANA'} -> Option A

4. Quick Check:

   Dict comprehension maps keys to uppercase values [OK]

Hint: Dict comprehension maps each query to its uppercase [OK]

Common Mistakes:

• Confusing list output with dict output
• Swapping keys and values
• Thinking code has syntax error

4. Identify the error in this multi-query retrieval code snippet:

queries = ['cat', 'dog']
results = []
for q in queries:
    results.append(q.upper)
print(results)

medium

A. Incorrect variable name 'q' in loop

B. Using list instead of dictionary for results

C. Missing parentheses after upper method call

D. Syntax error in for loop

Solution

1. Step 1: Check method usage in loop

   The code calls q.upper without parentheses, so it references the method but does not call it.

2. Step 2: Understand the effect of missing parentheses

   Appending q.upper adds the method object, not the uppercase string, causing unexpected results.

3. Final Answer:

   Missing parentheses after upper method call -> Option C

4. Quick Check:

   Method call needs () to execute [OK]

Hint: Remember to add () to call string methods like upper() [OK]

Common Mistakes:

• Forgetting parentheses on method calls
• Thinking list is wrong for storing results
• Assuming variable name is incorrect

5. You want to retrieve results for multiple queries from a large dataset efficiently. Which approach best uses multi-query retrieval to improve speed and organize results?

hard

A. Run each query one after another and combine all results into one list

B. Run all queries at once and store each query's results separately in a dictionary

C. Run only the first query and ignore the rest to save time

D. Run queries randomly and merge results without labels

Solution

1. Step 1: Understand multi-query retrieval goal

   It aims to run many queries simultaneously to save time and keep results organized.

2. Step 2: Evaluate options for efficiency and organization

   Run all queries at once and store each query's results separately in a dictionary runs all queries at once and stores results separately, matching the goal. Run each query one after another and combine all results into one list runs queries one by one, slower. Run only the first query and ignore the rest to save time ignores queries, losing data. Run queries randomly and merge results without labels merges results without labels, losing clarity.

3. Final Answer:

   Run all queries at once and store each query's results separately in a dictionary -> Option B

4. Quick Check:

   Simultaneous queries + separate storage = efficient multi-query retrieval [OK]

Hint: Run all queries together and keep results labeled separately [OK]

Common Mistakes:

• Running queries sequentially, losing speed
• Ignoring some queries to save time
• Merging results without query labels