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Given the code snippet:

medium📝 component behavior Q13 of 15
LangChain - Embeddings and Vector Stores
Given the code snippet:
from langchain.embeddings import OpenAIEmbeddings
embeddings = OpenAIEmbeddings()
vector = embeddings.embed_query('Hello world')

What is the type of vector?
AA dictionary with text keys and values
BA string containing the original text
CA list of numbers representing the text meaning
DAn integer representing text length
Step-by-Step Solution
Solution:

  1. Step 1: Understand embed_query output

    The embed_query method returns a list of numbers (a vector) representing the meaning of the input text.

  2. Step 2: Identify the type of vector

    Since it encodes meaning, the vector is a list of floats or numbers, not a string or dictionary.

  3. Final Answer:

    A list of numbers representing the text meaning -> Option C

  4. Quick Check:

    embed_query output = number list [OK]
Quick Trick: embed_query returns a number list vector [OK]
Common Mistakes:
  • Expecting a string instead of numbers
  • Thinking it returns a dictionary
  • Assuming it returns text length as integer

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