Unlocking the Future of AI: Secure and Intelligent Retrieval with OpenAI and SurrealDB Vector Search

Описание: 👉 Machine learning engineer, Cellan Hall, explores an example of a Retrieval Augmented Generation (RAG) application leveraging OpenAI and SurrealDB for vector storage and search.

👨‍💻 Cellan Hall:   / cellan-hall  

This is part of our SurrealDB social events series, filmed live in London, where we discuss the latest updates, releases and features of SurrealDB. For future events, see here: https://www.eventbrite.co.uk/o/surrea...

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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.

👉 Get started with SurrealDB: https://sdb.li/getstarted

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.