Join the team as we dive into Vector Embeddings in SurrealDB: ⭐ Handling Vector Data with SurrealQL: Discover techniques for efficiently storing and managing vector data in SurrealDB using its powerful query language, SurrealQL. ⭐ Optimising Nearest Neighbour Searches: Explore how SurrealDB enhances the accuracy and speed of nearest neighbour searches through advanced indexing methods. ⭐ Live Feature Demo: Watch a practical demo of SurrealDB's new vector search features, illustrating their real-world application and effectiveness. Featuring Senior Software Engineer, Emmanuel Keller and CEO Tobie Morgan Hitchcock, plus live Q&A throughout the stream. 00:00:00 Welcome to Stream #15 00:00:31 Vector Embeddings 00:05:36 Vectral Search 00:10:18 Inclination and Huffman Search 00:13:00 Storage Size of Vectors 00:16:19 What are Vectors in neural networks? 00:26:28 Unveiling the Data Science Vectors 00:31:48 Facenet for Face Detection 00:33:13 Vector Embedding Functionality 00:34:20 What is the future of SurrealML? 00:36:51 Youtube Comments 00:38:27 SurrealDB with ML and AI SurrealDB: 🌍 SurrealDB Twitter: https://surrealdb.com/ 👉 SurrealDB GitHub: https://github.com/surrealdb/surrealdb 🐦 SurrealDB Twitter: https://twitter.com/surrealdb 👨💻 SurrealDB LinkedIn: https://www.linkedin.com/company/surrealdb/ 👉 SurrealDB Discord: https://discord.com/invite/surrealdb 📸 SurrealDB Instagram: https://www.instagram.com/surrealdb 👚 Shop the merch: https://surrealdb.store/ What is SurrealDB? SurrealDB is an end-to-end cloud-native database designed for modern applications, including web, mobile, serverless, Jamstack, backend, and traditional applications. With SurrealDB, you can simplify your database and API infrastructure, reduce development time, and build secure, performant apps quickly and cost-effectively. Key features of SurrealDB: ⭐ Reduces development time: SurrealDB simplifies your database and API stack by removing the need for most server-side components, allowing you to build secure, performant apps faster and cheaper. ⭐ Real-time collaborative API backend service: SurrealDB functions as both a database and an API backend service, enabling real-time collaboration. ⭐ Support for multiple querying languages: SurrealDB supports SQL querying from client devices, GraphQL, ACID transactions, WebSocket connections, structured and unstructured data, graph querying, full-text indexing, and geospatial querying. ⭐ Granular access control: SurrealDB provides row-level permissions-based access control, giving you the ability to manage data access with precision.