Memory retrieval strategies in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to retrieve a memory by its unique key.

Agentic AI

retrieved_memory = memory_store.[1]('user_123')

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

Aget

Bappend

Cupdate

Dremove

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'append' which is for lists, not dictionaries.

Using 'remove' which deletes data instead of retrieving.

Using 'update' which changes data instead of fetching.

The 'get' method retrieves the value for the given key from the memory store.

2fill in blank

medium

Complete the code to check if a memory key exists before retrieval.

Agentic AI

if '[1]' in memory_store:
    data = memory_store['[1]']

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

Auser_456

Bmemory

Cdata

Dkey

Attempts:

3 left

💡 Hint

Common Mistakes

Using variable names instead of the actual key string.

Forgetting to check key existence before access.

We check if the specific key 'user_456' exists in the memory store before accessing it.

3fill in blank

hard

Fix the error in the code to retrieve the most recent memory entry.

Agentic AI

recent_memory = memory_list.[1]()

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

Aappend

Bpop

Csort

Dclear

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'append' which adds items instead of retrieving.

Using 'sort' which rearranges the list but does not retrieve an item.

Using 'clear' which empties the list.

The 'pop' method removes and returns the last item, which is the most recent memory in a list.

4fill in blank

hard

Fill both blanks to filter memories with scores above 80.

Agentic AI

high_scores = {mem: score for mem, score in memory_scores.items() if score [1] [2]

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

A>

B80

C<

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' which filters lower scores.

Using '==' which filters only exact matches.

We use '>' to filter scores greater than 80.

5fill in blank

hard

Fill all three blanks to create a dictionary of memories with length greater than 5.

Agentic AI

filtered_memories = { [1]: [2] for [3] in memories if len(memories[[3]]) > 5 }

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

Amem

Bmemories[mem]

Dmemory

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names inconsistently.

Using the key as the value instead of accessing the dictionary.

We use 'mem' as the key variable, 'memories[mem]' as the value, and iterate with 'mem' over memories.

Practice

1. What is the main purpose of memory retrieval strategies in agentic AI?

easy

A. To find stored information quickly and accurately

B. To create new data from scratch

C. To delete old information permanently

D. To slow down the AI's response time

Solution

1. Step 1: Understand the role of memory retrieval

   Memory retrieval strategies are designed to help AI find information it has stored before.

2. Step 2: Identify the main goal

   The goal is to do this quickly and accurately so the AI can respond well.

3. Final Answer:

   To find stored information quickly and accurately -> Option A

4. Quick Check:

   Memory retrieval = find info fast [OK]

Hint: Memory retrieval means finding stored info fast [OK]

Common Mistakes:

• Confusing retrieval with data creation
• Thinking retrieval deletes data
• Assuming retrieval slows AI down

2. Which of the following is the correct way to check if a memory item matches a query in Python?

easy

A. if memory_item === query:

B. if memory_item = query:

C. if memory_item == query:

D. if memory_item != query:

Solution

1. Step 1: Recall Python comparison syntax

   In Python, '==' checks if two values are equal.

2. Step 2: Identify correct equality check

   '=' is assignment, '===' is not valid in Python, '!=' means not equal.

3. Final Answer:

   if memory_item == query: -> Option C

4. Quick Check:

   Equality check in Python = '==' [OK]

Hint: Use '==' to compare values in Python [OK]

Common Mistakes:

• Using '=' instead of '==' for comparison
• Using '===' which is JavaScript syntax
• Confusing '!=' with equality check

3. Given the code below, what will be the output?

memory = ['apple', 'banana', 'cherry']
query = 'banana'
result = None
for item in memory:
    if item == query:
        result = item
        break
print(result)

medium

A. None

B. Error

C. 'apple'

D. 'banana'

Solution

1. Step 1: Loop through memory list

   The loop checks each item: 'apple', then 'banana', then 'cherry'.

2. Step 2: Check for match and break

   When 'banana' matches the query, result is set to 'banana' and loop stops.

3. Final Answer:

   'banana' -> Option D

4. Quick Check:

   Loop finds 'banana' and stops [OK]

Hint: Loop breaks on first match, returns that item [OK]

Common Mistakes:

• Assuming result stays None
• Thinking loop continues after match
• Confusing output with first list item

4. What is wrong with this memory retrieval code snippet?

memory = []
query = 'orange'
for item in memory:
    if item == query:
        print('Found')
    else:
        print('Not found')

medium

A. It prints 'Not found' multiple times incorrectly

B. It never prints anything if memory is empty

C. It causes a syntax error due to missing colon

D. It crashes because query is not defined

Solution

1. Step 1: Analyze empty memory list

   The for loop does not run at all if memory is empty.

2. Step 2: Check output behavior

   Since loop never runs, no print happens, so no indication of 'Not found'.

3. Final Answer:

   It never prints anything if memory is empty -> Option B

4. Quick Check:

   Empty list means no loop runs [OK]

Hint: Empty memory means loop skips, no output printed [OK]

Common Mistakes:

• Thinking 'Not found' prints once automatically
• Assuming syntax error without checking code
• Believing query is undefined

5. You want to improve a memory retrieval function to return 'Not found' if no match exists, even when memory is empty. Which code change achieves this best?

def retrieve(memory, query):
    for item in memory:
        if item == query:
            return item
    # What to add here?

hard

A. return 'Not found' after the loop

B. print('Not found') inside the loop

C. return None inside the loop

D. raise Exception('Not found') inside the loop

Solution

1. Step 1: Understand loop behavior

   If no item matches, loop finishes without returning.

2. Step 2: Add return after loop

   Returning 'Not found' after loop ensures function always returns a value.

3. Final Answer:

   return 'Not found' after the loop -> Option A

4. Quick Check:

   Return after loop handles no matches [OK]

Hint: Return 'Not found' after loop to handle no matches [OK]

Common Mistakes:

• Putting return inside loop causing premature exit
• Using print instead of return
• Raising exception unnecessarily