1z0-184-25 Exam Dumps - Oracle AI Vector Search Professional

Encodes the question and database chunks into vectors, finds the most similar using cosine similarity, and includes them in the LLM prompt

Trains a separate LLM on the database and uses it to answer, ignoring the general LLM

Converts the question to keywords, searches for matches, and inserts the text into the response

Clusters similar text chunks and randomly selects one from the most relevant cluster

Both operate identically but differ in memory usage

HNSW guarantees accuracy, whereas IVF sacrifices performance for accuracy

HNSW uses an in-memory neighbor graph for faster approximate searches, whereas IVF uses the buffer cache with partitions

HNSW is partition-based, whereas IVF uses neighbor graphs for indexing