[Solved] Given the following code snippet, what will results contain after running store.... Given the following code snippet, what will results contain after running store.similarity_search('Hello world')? | LangChain

LangChain - Embeddings and Vector Stores

Given the following code snippet, what will results contain after running store.similarity_search('Hello world')?

embed = SomeEmbeddingFunction()
store = Chroma(embedding_function=embed, collection_name='texts')
store.add_texts(['Hello world', 'Goodbye world'])
results = store.similarity_search('Hello world')

AA list containing 'Hello world' as the most similar text

BAn empty list because no texts were added

CA list containing 'Goodbye world' only

DA syntax error due to missing parameters

Step-by-Step Solution

Solution:

Step 1: Analyze texts added to the store
The store has two texts: 'Hello world' and 'Goodbye world'.
Step 2: Understand similarity_search behavior
Searching 'Hello world' will return texts most similar, so 'Hello world' itself is the closest match.
Final Answer:
A list containing 'Hello world' as the most similar text -> Option A
Quick Check:
Added texts include 'Hello world' = A list containing 'Hello world' as the most similar text [OK]

Quick Trick: Similarity search returns closest added text matches [OK]

Common Mistakes:

Assuming no texts were added so result is empty
Thinking it returns unrelated texts
Confusing syntax error with runtime behavior

Master "Embeddings and Vector Stores" in LangChain

9 interactive learning modes - each teaches the same concept differently

Learn Why Deep Visual Try Challenge Project Recall Perf

More LangChain Quizzes

Given the following code snippet, what will results contain after running store.similarity_search('Hello world')?

Step 1: Analyze texts added to the store

Step 2: Understand similarity_search behavior

Final Answer:

Quick Check:

Want More Practice?