Why Vector Compression Matters

Vector indexes are the hottest topic in databases because approximate nearest neighbor (ANN) vector search puts the R in RAG (retrieval-augmented generation). “Nearest neighbor” for text embedding models is almost always measured with angular distance, for instance, the cosine between two vectors. Getting the retrieval accurate and efficient is a critical factor for the entire application; failing to find relevant context — or taking too long to find it — will leave your large language model (LLM) …

angular ann application approximate nearest neighbor compression cosine databases embedding embedding models instance rag retrieval retrieval-augmented search softwaredevelopment text text embedding vector vectordatabase vectors vector search