Conference:  OpenAI + Data Forum 2022

Authors: Bing HE

2022-06-23

Unstructured data is flooding over businesses nowadays while the way of processing data has been always limited to a structured way before. Neural search creator Jina AI has come aiming to bring a new way of accessing unstructured data in its original unstructured way which helps unlock huge potential for businesses to see the value their unstructured data could bring. This talk will be sharing the best learnings that Jina AI has built with open source product ecosystem to help developers easily build applications built by neural search and also how this will bring unlock business opportunities.

Conference:  OpenAI + Data Forum 2022

Authors: Charles Xie, Frank Liu

2022-06-22

The total amount of digital data generated worldwide is increasing at a rapid rate. Simultaneously, approximately 80% (and growing) of this newly generated data is unstructured data - data that does not conform to a table- or object-based model. Examples of unstructured data include text, images, protein structures, geospatial information, and IoT data streams. Despite this, the vast majority of companies and organizations do not have a way of storing and analyzing these increasingly large quantities of unstructured data. Embeddings - high-dimensional, dense vectors which represent the semantic content of unstructured data - can remedy this. Armed with this knowledge, it's clear that the mobile/IoT era necessitates a new type of cloud-native, fully distributed database purpose-built to store, search, and index large quantities of embedding vectors: Milvus.In this presentation, we'll introduce the design of Milvus 2.0 - the world's most popular open-source vector database trusted by over 1000 organizations. Milvus 2.0 represents a complete paradigm shift in the underlying vector database architecture - cloud-native, horizontally scalable, and fully distributed. We will also briefly discuss the evolution from Milvus 1.0 to 2.0 and share various real-world use cases and applications.