• Placement 360 CourseExplore

    • Gen AI Day 42

    Last Updated :
    Discuss
    Comments

    Question 1

    What is the main goal of semantic search?

    • A

      To match keywords exactly

    • B

      To understand the meaning behind user queries

    • C

      To count word frequencies

    • D

      To extract document metadata

    Question 2

    Which library is used for similarity search in the implementation?

    • A

      Milvus

    • B

      FAISS

    • C

      Pinecone

    • D

      ChromaDB

    Question 3

    What is the role of the SentenceTransformer model in the pipeline?

    • A

      It chunks text

    • B

      It generates embeddings for documents and queries

    • C

      It cleans text

    • D

      It visualizes similarity scores

    Question 4

    Why is text chunking performed before embedding generation?

    • A

      To compress the dataset

    • B

      To reduce memory usage

    • C

      To improve retrieval accuracy and performance

    • D

      To remove duplicates

    Question 5

    What type of FAISS index is used in this implementation?

    • A

      IndexHNSWFlat

    • B

      IndexIVFFlat

    • C

      IndexFlatIP

    • D

      IndexFlatL2

    Question 6

    What does the semantic_search_best() function do?

    • A

      Builds FAISS indexes

    • B

      Encodes documents into embeddings

    • C

      Searches and displays top semantically relevant document snippets

    • D

      Cleans and tokenizes input text

    There are 6 questions to complete.

    Take a part in the ongoing discussion