Purdue CS592: Databases for AI: Vector Databases
|
Course DescriptionVector databases have recently emerged as a hot topic in the broader realm of databases for AI. The surge of interest is largely fueled by large language models (LLMs), where vector databases help overcome inherent limitations such as hallucinations, lack of domain expertise, and the inability to incorporate real-time information. This is enabled by the new paradigm of Retrieval-Augmented Generation (RAG), in which vector databases act as external knowledge bases, delivering relevant context to LLMs via vector search. While vector search itself is not new, modern vector databases face a host of system-level challenges, which we will explore in depth in this course. In this seminar, we will first cover the fundamentals of vector databases. Then we will feature a series of invited talks and student presentations covering recent advances in vector databases. By the end of the course, students are expected to gain a solid understanding of the challenges, the state-of-the-art techniques, and the open problems in vector databases. |
Instructor
|
Logistics
|
Online communications
|
Schedule (More Speakers to Be Invited) |
Lecture |
Talk/Paper Title |
Presenter |
| Lec 01 (01/12) | Introduction on Vector Databases |
Jianguo Wang |
| Lec 02 (01/14) | Introduction on Vector Databases |
Jianguo Wang |
| Lec 03 (01/19) | Cancelled due to MLK Day |
N/A |
| Lec 04 (01/21) | Cancelled due to business trip |
N/A |
| Lec 05 (01/26) | Introduction on Vector Databases |
Jianguo Wang |
| Lec 06 (01/28) | VectorChord - Scalable Vector Search in PostgreSQL |
Allen Zhou @ Vectorchord |
| Lec 07 (02/02) | Elasticsearch: world's most downloaded vector database |
Mayya Sharipova @ Elastic |
| Lec 08 (02/04) | TBD |
TBD |
| Lec 09 (02/09) | The DiskANN Vector Indexing Library: From Ideas to Microsoft Scale |
Harsha Simhadri @ Microsoft |
| Lec 10 (02/11) | Database Systems in the AI Era |
Qi Chen @ Microsoft |
| Lec 11 (02/16) | MyVector: Vector Search & AI Database Tools for MySQL |
Alkin Tezuysal @ Altinity |
| Lec 12 (02/18) | RAG on Financial Documents |
Xinyu Wang @ McGill University |
| Lec 13 (02/23) | RetroInfer Vector Store for LLM Inference |
Baotong Lu @ Microsoft |
| Lec 14 (02/25) | Building a search system for AI workloads |
Tanuj Nayak @ Chroma |
| Lec 15 (03/02) | RaBitQ |
Cheng Long @ NTU |
| Lec 16 (03/04) | pgvector Deep Dive |
Jonathan Katz @ Databricks |
| Lec 17 (03/09) | BANG: Billion-Scale Approximate Nearest Neighbour Search using a Single GPU |
Karthik V. and Jyothi Vedurada @ IIT |
| Lec 18 (03/11) | Building Stateless Serverless Vector DBs via Block-based Data Partitioning |
Daniel Barcelona-Pons @ URV |
| Lec 19 (03/16) | Cancelled due to Spring break |
N/A |
| Lec 20 (03/18) | Cancelled due to Spring break |
N/A |
| Lec 21 (03/23) | GPU-Accelerated ANNS:Quantized for Speed, Built for Change |
Hunter McCoy @ Northeastern Univ. |
| Lec 22 (03/25) | Building Vector Search in MongoDB: Systems Challenges at Scale |
Chunbin Lin @ MongoDB |
| Lec 23 (03/30) | Beyond Search: Full Embedding Lifecycle in Cloud SQL for MySQL |
Shu Zhou @ Google |
| Lec 24 (04/01) | Vector Database Systems for AI Workloads |
Yunan Zhang @ Purdue |
| Lec 25 (04/06) | Index Maintenance in Vector Database Systems |
Chenzhe Jin @ Purdue |
| Lec 26 (04/08) | Vector Database for Aviation Safety Narrative Report Analysis |
Shuo Liu @ Purdue |
| Lec 27 (04/13) | Cancelled for business trip |
N/A |
| Lec 28 (04/15) | Cancelled for business trip |
N/A |
| Lec 29 (04/20) | Auto Tuning in Vector Databases |
Yibo Wang @ Purdue |
| Lec 30 (04/22) | Final Project Presentation |
N/A |
| Lec 31 (04/27) | Final Project Presentation |
N/A |
| Lec 32 (04/29) | ByteDance Vector Search |
Silu Huang @ ByteDance |