[Solved] Consider this Langchain code snippet:result = qa({'query': 'Define machine learning'}) print(result['source_documents'][0].metadata['source'])If the first retrieved document's source is 'ml_intro.... | LangChain

LangChain - RAG Chain Construction

Consider this Langchain code snippet:

result = qa({'query': 'Define machine learning'})
print(result['source_documents'][0].metadata['source'])

If the first retrieved document's source is 'ml_intro.txt', what will be printed?

A'source_documents'

B'machine_learning.pdf'

C'ml_intro.txt'

DAn error because 'metadata' does not exist

Step-by-Step Solution

Solution:

Step 1: Identify the source document metadata
The 'source_documents' list contains documents with metadata including 'source'.
Step 2: Access the first document's source
Accessing metadata['source'] returns the source filename.
Final Answer:
'ml_intro.txt' -> Option C
Quick Check:
Metadata source matches the document's filename [OK]

Quick Trick: Metadata['source'] holds the document filename [OK]

Common Mistakes:

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