Joan Fontanals - Principal Engineer - Jina AI

Topics:00:00 Intro00:42 Joan's background01:46 What attracted Joan's attention in Jina as a company and product?04:39 Main area of focus for Joan in the product05:46 How Open Source model works for Jina?08:38 Deeper dive into Jina.AI as a product and technology stack11:57 Does Jina fit the use cases of smaller / mid-size players with smaller amount of data?13:45 KNN/ANN algorithms available in Jina16:05 BigANN competition and BuddyPQ, increasing 12% in recall over FAISS17:07 Does Jina support customers in model training? Finetuner20:46 How does Jina framework compare to Vector Databases?26:46 Jina's investment in user-friendly APIs31:04 Applications of Jina beyond search engines, like question answering systems33:20 How to bring bits of neural search into traditional keyword retrieval? Connection to model interpretability41:14 Does Jina allow going multimodal, including images / audio etc?46:03 The magical question of Why55:20 Product announcement from JoanOrder your Jina swag https://docs.google.com/forms/d/e/1FAIpQLSedYVfqiwvdzWPX-blCpVu-tQoiFiUJQz2QnIHU1ggy1oyg/ Use this promo code: vectorPodcastxJinaAIShow notes:- Jina.AI: https://jina.ai/- HNSW + PostgreSQL Indexer: [GitHub - jina-ai/executor-hnsw-postgres: A production-ready, scalable Indexer for the Jina neural search framework, based on HNSW and PSQL](https://github.com/jina-ai/executor-h...)- pqlite: [GitHub - jina-ai/pqlite: A fast embedded library for Approximate Nearest Neighbor Search integrated with the Jina ecosystem](https://github.com/jina-ai/pqlite)- BuddyPQ: [Billion-Scale Vector Search: Team Sisu and BuddyPQ | by Dmitry Kan | Big-ANN-Benchmarks | Nov, 2021 | Medium](https://medium.com/big-ann-benchmarks...)- PaddlePaddle: [GitHub - PaddlePaddle/Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）](https://github.com/PaddlePaddle/Paddle)- Jina Finetuner: [Finetuner 0.3.1 documentation](https://finetuner.jina.ai/)- [Not All Vector Databases Are Made Equal | by Dmitry Kan | Towards Data Science](https://towardsdatascience.com/milvus...)- Fluent interface (method chaining): [Fluent interfaces in Python | Florian Einfalt – Developer](https://florianeinfalt.de/posts/fluen...)- Sujit Pal’s blog: [Salmon Run](http://sujitpal.blogspot.com/)- ByT5: Towards a token-free future with pre-trained byte-to-byte models https://arxiv.org/abs/2105.13626Special thanks to Saurabh Rai for the Podcast Thumbnail: https://twitter.com/srbhr_ https://www.linkedin.com/in/srbh077/