About
Gleb is a Cloud Advocate at Google who specializes in Cloud Database technologies in the Google Cloud. He has over 20 years of experience in data-related technologies, and has expertise in a variety of areas, including relational databases, Big Data, application development, data replication and integration solutions, including products from Google, Oracle, AWS, Cloudera, and other vendors. He has been honored to be a presenter at various conferences in the USA, Europe, and APAC.
Gleb Otochkin has presented the following presentations
Building GenAI applications on PostgreSQL
at
Postgres Conference 2024
presented by Gleb Otochkin
In the third session of the half-day Google-led learning (which you can also attend as a standalone session), we'll get down to the business of building a gen AI app. We'll review the concepts of LLMs, vector databases, vector search, vector embeddings and Retrieval Augmented Generation (RAG), and learn about pgvector and related PostgreSQL technologies. We'll bring it all together with an Allo...
more Thu 18 2024 Google Cloud
Building GenAI applications on PostgreSQL (continued)
at
Postgres Conference 2024
presented by Gleb Otochkin
This session provides extra time to finish the AlloyDB GenAI hands-on lab.
Thu 18 2024 Google Cloud
Vector Search in PostgreSQL using Different ANN Algorithms
at
Postgres Conference 2024
How to make the ANN vector search faster
presented by Gleb Otochkin and Alan Li
The Vector data type is one of the most used data types for the latest AI applications prototypes and implementations. It is commonly used in applications such as image retrieval, natural language processing, and recommender systems. Vector search is a technique used to find similar vectors in a high-dimensional space and how we do it has a direct impact on the system performance. We will disc...
more Fri 19 2024 Dev
JSON and analytics in Postgres using index and columnar.
at
Postgres Conference 2024
Challenges and tools in hands to work with JSON data in Postgres
presented by Gleb Otochkin
We want it to be fast, reliable and flexible. We want JSON and we want OLTP with ACID. Can all it work together or we need to choose 2 out of three of our wishes again? What technology can help to speed up the JSON queries? A couple of different approaches for JSON data analytics. Here is what we are going to discuss: - JSON data types - usage and challenges - Indexes for JSON data types - ...
more Thu 18 2024 Dev