Ajit Gadge

Field CTO-APJ

Ajit is an accomplished IT executive, strategist, advisor, and evangelist with 23+ years of experience in executive, technical, and architectural leadership positions at many IT companies. He advises many BFSI, Telcos, Retail, and Enterprise customers on their Opensource Databases and Analytics strategy and technology deployments. He is passionate about Data technologies and evangelists in cloud technologies. His expertise and practice areas are digital transformation, Cloud, Observability, and Datastore. He has spoken at major conferences and hosted webcasts, podcasts, and video chats. He has his engineering graduation from Mumbai University and a PG in Fintech Technologies from NUS (National University of Singapore). He has also done several technology certifications, including TOGAF.

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Technical Blog

Transforming Real-Time Analytics and AI Workloads with PostgreSQL

PostgreSQL with pgvector transforms real-time analytics and AI workloads, breaking data silos with scalable data integration architecture and advanced database AI.
Postgres Tutorials

Next-Gen PostgreSQL: From ACID to AI

Many organisations have used Traditional OLTP databases for many years for different use cases because Excel handles your structure data with ACID compliance. However, it often needs to catch up regarding operations involving high-dimensional vector data, which is crucial for modern NLP tasks. The challenge lies in efficiently storing, indexing, and retrieving these vectors representing text data for real-time applications.
Postgres Tutorials

Enhancing Search Capabilities with PostgreSQL: From Standard to Semantic.

In the digital age, the ability to sift through vast amounts of text data efficiently and effectively is crucial. PostgreSQL, a robust open-source relational database, offers various search functionalities that cater to multiple needs, from simple pattern matching to linguistic search and more complex semantic search understanding. This article explores these search methods—standard search, full-text search, and semantic search—using the example of searching for articles related to "PostgreSQL & vector" to illustrate their differences, use cases, and internal workings.