Bird
0
0

You have an existing FAISS vector store in LangChain and want to add more documents without recreating the entire index. Which method should you use?

hard📝 Application Q8 of 15
LangChain - Embeddings and Vector Stores
You have an existing FAISS vector store in LangChain and want to add more documents without recreating the entire index. Which method should you use?
Afaiss_store.load_local(new_texts)
Bfaiss_store.from_texts(new_texts, embeddings)
Cfaiss_store.save_local(new_texts)
Dfaiss_store.add_texts(new_texts)
Step-by-Step Solution
Solution:

  1. Step 1: Identify method to add documents

    To add new documents to an existing FAISS vector store, use the add_texts method.

  2. Step 2: Why not others?

    from_texts creates a new store; save_local saves the index; load_local loads an index.

  3. Final Answer:

    faiss_store.add_texts(new_texts) -> Option D

  4. Quick Check:

    Check LangChain FAISS docs for adding texts [OK]
Quick Trick: Use add_texts() to append documents [OK]
Common Mistakes:
  • Using from_texts which recreates index
  • Confusing save_local with adding data
  • Trying to load_local to add documents

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More LangChain Quizzes
Conversational RAG - Question reformulation with history - Quiz 14medium Conversational RAG - Chat history management - Quiz 4medium Document Loading - Directory loader for bulk documents - Quiz 10hard Document Loading - Loading from databases - Quiz 6medium Document Loading - Loading CSV and Excel files - Quiz 12easy Embeddings and Vector Stores - OpenAI embeddings - Quiz 6medium Embeddings and Vector Stores - Pinecone cloud vector store - Quiz 1easy Embeddings and Vector Stores - OpenAI embeddings - Quiz 13medium RAG Chain Construction - Context formatting and injection - Quiz 1easy Text Splitting - Overlap and chunk boundaries - Quiz 2easy