Leveraging PostgreSQL with RAG

54mIntermediate2024-12-05

Authors

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

01 - Discover the power of PostgreSQL and RAG
02 - What you should know
03 - What is PostgreSQL
04 - What is RAG

1. PostgreSQL Essentials - From Setup to Basic Queries

05 - Setting up PostgreSQL
06 - Creating tables and inserting data
07 - Basic SQL queries

2. Leveraging PostgreSQL with RAG

08 - How RAG works with PostgreSQL
09 - Benefits of using RAG with PostgreSQL

3. Vanna.AI - Revolutioning PostgreSQL Queries with Natural Language

10 - Introduction to Vanna.ai
11 - Connecting Vanna.ai to PostgreSQL
12 - Querying PostgreSQL using Vanna.ai's RAG
13 - Use cases

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

14 - Handling large datasets with RAG
15 - Performance optimization
16 - Security considerations

5. Final Project

17 - Assignment - Applying RAG to a PostgreSQL database
18 - Walkthrough - Applying RAG to a PostgreSQL database

Conclusion

19 - Next steps