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
- 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