Developing RAG Apps with Azure Database for PostgreSQL & LangChain
Presented by:
Shriram Muthukrishnan
Shriram is currently serving as the Senior Program Manager for Azure Database for PostgreSQL at Microsoft. With a wealth of experience in database management, he has contributed to shaping and enhancing the Azure Database for PostgreSQL service. Prior to his tenure at Microsoft, Shriram dedicated four years to Oracle, where he honed his expertise in database technologies and contributed significantly to the Oracle ecosystem.
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Join us for an immersive 3-hour training session where you will learn to build a Retrieval-Augmented Generation (RAG) application leveraging PostgreSQL’s open-source pgvector extension, the new DiskANN extension, LangChain, and Python Jupyter Notebooks. This session will guide you through integrating vector search capabilities on Azure Database for PostgreSQL, using LangChain for advanced text chunking and seamless data orchestration, and testing it all by developing a simple chat interface in Jupyter Notebooks. By the end of this workshop, you will have hands-on experience creating a RAG application pipeline, understand recommended practices for Postgres database and indexing configuration, and gain insights into optimizing vector searches for efficient performance.
- Date:
- Duration:
- 3 h 30 min
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- Conference:
- PGConf India, 2025
- Language:
- Track:
- Training
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