Do you work with large datasets and complex queries involving similarity searches for your PostgreSQL database? pgvector might be the missing link required for enhancing your application’s capabilities with AI.  

Join Semab Tariq, our in-house PostgreSQL Database Developer, on 8 May 2024 for an information-packed session on “pgvector: How to transform your search capabilities with AI”. Semab will share everything you need to maximize the performance of your queries. 

The webinar will cover:

• Introduction of pgvector and different embedding models
• Perform searches based on the meaning of the words, not just the words themselves.
• Internal structure of indexes in pgvector
• Parallel index support for Hierarchical Navigable Small World (HNSW) 
• Query execution time difference between non-indexed VS IVFFLAT VS HNSW Indexed queries 
• Retrieval-Augmented Generation (RAG) to improve contextual understanding and enhance response quality
• pgvector real world use cases

About the Speaker

Semab Tariq

Semab is a Database Developer at Stormatics with a versatile background encompassing DevOps, Packaging, and ML models. He has a strong track record of driving innovation and optimizing PostgreSQL performance across diverse platforms.