You have embedded the following 5 sentences using text-embedding-3-small and computed pairwise cosine similarities:
Sentence A: "How do I reset my account password?"
Sentence B: "I forgot my login credentials and cannot access my account."
Sentence C: "The password reset email is not arriving in my inbox."
Sentence D: "How do I cancel my subscription?"
Sentence E: "What is the refund policy for cancelled plans?"
Without running the actual embeddings, reason about the cosine similarity scores:
- Which two sentences have the highest cosine similarity? Explain why.
- Which pair has the lowest cosine similarity? Explain why.
- A user searches with Sentence A. Which documents would a RAG system retrieve (top 2)? Would this retrieval be useful?
- Why might keyword search fail to identify the relationship between Sentence A and Sentence B?