Why did we open-source our inference engine? Read the post
← All News

Fireside Chat on Redis for Startups

Fireside Chat on Redis for Startups

At Redis Released in New York on October 17th, I had the opportunity to join a fireside chat alongside representatives from Redis, NVIDIA, AWS, and Relevance AI. The session, “Redis for Startups,” was a deep dive into how emerging AI companies are pushing technological boundaries.

I shared insights into how Superlinked is at the forefront of AI innovation. We combine our vector compute framework with Redis’ high-performance vector database solutions to develop cutting-edge GenAI applications. This integration allows us to efficiently handle complex data, turning it into vector embeddings that power advanced search and recommendation systems.

By leveraging Redis’ lightning-fast vector database, we’re able to deliver real-time responses essential for applications like personalized recommendations and semantic search. This combination not only enhances performance but also optimizes costs, making it a game-changer for companies venturing into the AI space.

For those interested in building smarter and faster GenAI applications, the collaboration between Superlinked and Redis offers a robust solution to accelerate development and deployment.

You can watch the full discussion from Redis Released below:

Self-hosted inference for search & document processing

Cut API costs by 50x, boost quality with 85+ SOTA models, and keep your data in your own cloud.

Github
1.5K

Contact us

Tell us about your use case and we'll get back to you shortly.