Vector Embeddings and Vector search in PG
Vector Embeddings and Vector search in PG
Presented by:
VaibhavJain
I am a software engineer working on AlloyDB Database at Google Cloud. My present area of focus involves the intersection of AI and databases. I have 15+ years of experience working with database internals. Before AlloyDB, I worked on DynamoDB, a fully managed key-value database service, where I built indexing, transactions, continuous data protection, streams and other internal features.
Pushkar Khadilkar
Pushkar Khadilkar is a software engineer working on AlloyDB Database at Google Cloud. My present area of focus involves the intersection of AI and databases. I have 10+ years of experience working with database internals. Some of the topics I have worked on in the past are database storage formats, in-memory processing, paging, and k8s operators for databases.
Checkout the slides
strong text This talk will look at the following aspects:
- Integration with LLMs
- Generation of vector embeddings
- Persistence of vector embeddings
- Approximate Nearest Neighbor (ANN) Search
- Date:
- 2024 March 1 - 10:50
- Duration:
- 40 min
- Room:
- Robusta + Arabica
- Conference:
- PGConf India, 2024
- Language:
- Track:
- Database Engine Developers
- Difficulty:
- Medium
- Writing fast trusted stored functions in PL/Rust
- Start Time:
- 2024 March 1 10:50
- Room:
- Grand Victoria A
- Use Connection Pooling to Enable Postgres Proxy and to Improve Database Performance
- Start Time:
- 2024 March 1 10:50
- Room:
- Grand Victoria B