Leveraging PostgreSQL with RAG

Leveraging PostgreSQL with RAG

54mIntermediate2024-12-05

Authors

Doug Ortiz

Doug Ortiz

Course details

This course provides a comprehensive overview of leveraging PostgreSQL—a popular open-source database management system—with RAG (retrieval-augmented generation) by utilizing vanna.ai for building question-answering systems. Gain an understanding of RAG architecture, learn how to set up a PostgreSQL database, retrieve data from PostgreSQL using SQL, and Python, integrate RAG with PostgreSQL, query with RAG, fine-tune the RAG model on domain-specific data, and deploy the solution. The course also covers topics such as data preprocessing, indexing, retrieval, generation, fine-tuning, and deployment, with hands-on examples and code snippets to reinforce the concepts.

Skills covered

PostgreSQLNatural Language Processing (NLP)Database DevelopmentDatabase ManagementArtificial Intelligence (AI)Open SourceSoftware DevelopmentOne-Off

Concepts

Introduction - PostgreSQL and RAG

  • Discover the power of PostgreSQL and RAG
  • What you should know
  • What is PostgreSQL
  • What is RAG

PostgreSQL Essentials - From Setup to Basic Queries

  • Setting up PostgreSQL
  • Creating tables and inserting data
  • Basic SQL queries

Leveraging PostgreSQL with RAG

  • How RAG works with PostgreSQL
  • Benefits of using RAG with PostgreSQL

Vanna.AI - Revolutioning PostgreSQL Queries with Natural Language

  • Introduction to Vanna.ai
  • Connecting Vanna.ai to PostgreSQL
  • Querying PostgreSQL using Vanna.ai's RAG
  • Use cases

Navigating the Challenges of Large Datasets in RAG - Speed, Efficiency, and Safety

  • Handling large datasets with RAG
  • Performance optimization
  • Security considerations

Final Project

  • Assignment - Applying RAG to a PostgreSQL database
  • Walkthrough - Applying RAG to a PostgreSQL database

Conclusion

  • Next steps
40,000 Toman