Document loading and chunking strategies in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load a document from a file path.

Agentic AI

loader = TextLoader('[1]')
docs = loader.load()

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

Aimage.png

Bdata.txt

Cdocument.pdf

Daudio.mp3

Attempts:

3 left

💡 Hint

Common Mistakes

Using non-text file types like images or audio files.

Providing a file path that does not exist.

The TextLoader expects a text file path to load the document correctly.

2fill in blank

medium

Complete the code to split documents into chunks of 1000 characters.

Agentic AI

text_splitter = CharacterTextSplitter(chunk_size=[1], chunk_overlap=0)
texts = text_splitter.split_documents(docs)

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

A50

B500

C1000

D2000

Attempts:

3 left

💡 Hint

Common Mistakes

Using too small chunk sizes causing too many chunks.

Using too large chunk sizes causing memory issues.

Setting chunk_size to 1000 splits the document into chunks of 1000 characters each.

3fill in blank

hard

Fix the error in the code to correctly chunk documents with 20 characters overlap.

Agentic AI

text_splitter = CharacterTextSplitter(chunk_size=500, chunk_overlap=[1])
texts = text_splitter.split_documents(docs)

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

A100

B0

C10

D20

Attempts:

3 left

💡 Hint

Common Mistakes

Setting overlap to zero loses context between chunks.

Setting overlap larger than chunk size causes errors.

Setting chunk_overlap to 20 ensures chunks overlap by 20 characters for better context.

4fill in blank

hard

Complete the code to create a dictionary of chunk lengths for chunks longer than 50 characters.

Agentic AI

chunk_lengths = {chunk.page_content: len(chunk.page_content) for chunk in texts if len(chunk.page_content) [1] 50}

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

A:

B>

C<

D=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '=' instead of ':' in dictionary comprehension.

Using '<' instead of '>' in the condition.

The colon separates key and value in the dictionary, and '>' filters chunks longer than 50 characters.

5fill in blank

hard

Fill both blanks to create a list of chunk summaries using a summarizer function.

Agentic AI

summaries = [summarizer(chunk.page_content) for chunk in texts if len(chunk.page_content) [1] 100 and chunk.page_content.count('[2]') > 0]

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

B>

C'the'

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Adding extra arguments to summarizer function.

Using '==' instead of '>' for length comparison.

Checking for a wrong substring.

No extra argument is needed for summarizer, '>' filters chunks longer than 100, and checking if 'the' appears in chunk.