Native Vector Search for the DynamoDB API

This story was originally published on HackerNoon at: https://hackernoon.com/native-vector-search-for-the-dynamodb-api. ScyllaDB adds native vector search to its DynamoDB-compatible API, eliminating OpenSearch complexity while delivering 12K QPS performance. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #scylladb-vector-search, #dynamodb-vector-similarity, #dynamodb-opensearch, #zero-etl-vector-search, #scylladb-semantic-search, #vector-search-with-dynamodb, #high-vector-indexing, #good-company, and more. This story was written by: @scylladb. Learn more about this writer by checking @scylladb's about page, and for more stories, please visit hackernoon.com. ScyllaDB is adding native vector similarity search to Alternator, its DynamoDB-compatible API, eliminating the need for Amazon’s complex “Zero ETL” setup with OpenSearch. Instead of managing separate services and APIs, developers can run semantic search directly through DynamoDB Query operations. Benchmarks show 12K+ QPS with single-digit millisecond latency on a modest cluster.