Following OpenAI's acquisition of Rockset, engineers building intelligent, generative AI applications are seeking robust, scalable alternatives. SingleStore provides a powerful option to keep your applications running and offers advanced vector operations crucial for generative AI, including indexed ANN search and k-Nearest Neighbor searches via dot product, Euclidean distance, and cosine similarity. Its scalable architecture ensures that your generative AI apps can handle growing data volumes and increasing inference requests without performance degradation. SingleStore seamlessly integrates with leading AI platforms like OpenAI, AWS Bedrock, and Hugging Face, allowing for easy development and deployment of sophisticated generative AI applications. The database supports both Inverted File (IVF) and Hierarchical Navigable Small World (HNSW) indexing for efficient ANN searches, reducing search time compared to kNN, and offers robust full-text search capabilities integrated into its database engine built on the open-source Lucene technology. Additionally, SingleStore provides performance optimization techniques such as benchmark queries and inference requests, scalability through distributed architecture, and hybrid search to enhance context retrieval. Transitioning your intelligent, generative AI applications from Rockset to SingleStore opens up new possibilities for enhancing your AI capabilities with its comprehensive AI ecosystem integration and robust features, supported by expert engineers who will guide you through the migration process.