Summary of Podcast - Neural Search with Jina.ai

00:00:00 - 00:15:00

Jina.ai is a company that provides neural search services using machine learning models. The company's team is diverse and includes people who have experienced the pandemic firsthand. The company is also expanding its services to include vector databases and other tools to help users get the extra mile of quality in their search results without needing to microservices or communicate with other users. In this podcast, Jina.ai's CEO, Jina Han, discusses the company's focus on providing solutions for the neural search industry, as well as some of the team's recent industrial collaborations. Han also discusses the future of neural search, noting that research is key to making the technology more effective.

• 00:00:00 The gina ai team has open sourced their neural search capabilities in order to allow for faster feedback and corrections. Johan and Joann from Spain discuss the company's philosophy behind open source, and Johan explains why text and image were easier to work with than audio. Lastly, he asks about the performance of the neural search in different domains.
• 00:05:00 Podcast discusses Neural Search with Jina.ai, a platform that provides an ecosystem for users to share models and executors for data-driven tasks. The platform is distinguished by its ability to provide abstractions for building neural search models from scratch, as well as its development of an interactive hub for users to find the best models.
• 00:10:00 Jina.ai is a company that provides neural search services using machine learning models. The company's team is diverse and includes people who have experienced the pandemic firsthand. The company is also expanding its services to include vector databases and other tools to help users get the extra mile of quality in their search results without needing to microservices or communicate with other users.
• 00:15:00 In this podcast, Jina.ai's CEO, Jina Han, discusses the company's focus on providing solutions for the neural search industry, as well as some of the team's recent industrial collaborations. Han also discusses the future of neural search, noting that research is key to making the technology more effective.