PyData Yerevan January 2024 – Performance of Vector Databases

We are happy to announce that the PyData Yerevan meetup talk series is back for 2024! 🚀

Join us for the “Performance of Vector Databases” talk featuring Egor Romanov, Software Engineer at Supabase.

The talk will delve into the performance, challenges, and potentialities of vector databases and discover their role in advancing AI applications like Retrieval-Augmented Generation (RAG).

High-dimensional embeddings are integral to numerous machine learning applications, transforming raw data into compact representations for diverse algorithms. Vector databases are essential in managing and utilizing these vectors.

Their main purpose includes aiding operations, including distance computations, similarity evaluations, and nearest-neighbor searches within high-dimensional spaces. RAG leverages these embedding stores, unlocking significant potentialities in the AI domain.

Save the date to attend the PyData Yerevan January 2024 on January 18, at 19:00, in the PMI Science R&D Center (Teryan 105/ 13th building) to:

• explore the process of creating a provider for Postgres, integrated with pgvector, within a Python performance evaluation framework,
• conduct a simulation of a similarity search test showcasing the latent performance potential.

Register now to secure your spot: https://forms.gle/DFvqaLMjXtHVfUQP9

Organizing sponsors, Datamotus and AUA Akian College of Science and Engineering

Find more tech events happening in Armenia here