RAG Engineer

How would you build an accurate token budget estimator for a multilingual RAG application?

When would you need the offset_mapping feature that HuggingFace fast tokenizers provide?

PremiumWhen are embeddings already…

PremiumWhy can't you use…

Why is recall@k an incomplete metric for embedding model quality?

Your indexing pipeline tokenizes 10M docs in 18 hours. What single change gives the biggest speedup?

What is the primary purpose of embeddings in modern NLP?

What does cosine similarity measure between two embeddings?

PremiumWhat happens when you…

PremiumWhen do cosine and…

PremiumCompare mean pooling against…

PremiumHow do Word2Vec embeddings…

What is an embedding and what makes it useful?

Why is cosine similarity preferred over Euclidean distance for text embeddings?

Define L2 normalization for an embedding vector

Why is 'cosine ≥ 0.8' not a model agnostic relevance test?

Define recall@k in the embedding retrieval context

Describe what a 'bi-encoder' is in embedding based retrieval

Match each similarity metric to its formal definition

Complete the L2 normalization formula

Complete the dot product as cosine identity on unit vectors

When does cosine similarity equal the dot product?

Identify the most common pooling strategy in SBERT family encoder embeddings

Identify the key difference between Word2Vec and SBERT style embeddings

Select pooling strategies that are STANDARD for sentence embeddings (not deprecated)