Vector search
Why keyword search hits its limits
What BM25 does well, what it cannot do, and why vector similarity search complements the lexical index rather than replacing it.
Embeddings, similarity metrics and recall quality
The fundamentals of similarity search: vector spaces, cosine and dot product, measuring recall.
What BM25 does well, what it cannot do, and why vector similarity search complements the lexical index rather than replacing it.