Presented by:

Dsc 3198

Silas Marvin

PostgresML
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Retrieval Augmented Generation (RAG) represents a cutting-edge approach in natural language processing (NLP) — combining the strengths of semantic search for contextual retrieval with the generative capabilities of large language models (LLMs) to produce highly relevant and nuanced text outputs. PostgreSQL is an ideal NLP platform for AI and ML applications with the pgml and pgvector extensions. Developers can create powerful applications capable of understanding and generating human-like text based on a rich contextual understanding of the underlying data. In this masterclass, you’ll get the why and the how. We’ll deep dive into real-world use cases and success stories, showcasing the transformative impact of integrating RAG within PostgreSQL. Additionally, attendees will be equipped with the ability to leverage open-source extensions to implement RAG directly within their PostgreSQL databases.

Date:
2024 April 18 10:00 PDT
Duration:
50 min
Room:
San Carlos
Conference:
Postgres Conference 2024
Language:
English
Track:
Ops
Difficulty: