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Project Description

This project is centered around understanding the fundamentals of vector search and its application in various advanced data operations, such as similarity search, Retrieval Augmented Generation (RAG), and outlier detection. Through this project, you will learn how to create, query, and modify vectors using SQL, providing a hands-on approach to working with vector data.

Vector search operates on the principle of finding the closest match based on the available data, making it a powerful tool for identifying similarities and patterns within datasets. By combining vector search with traditional relational queries, you'll explore how to implement advanced attribute filtering, enhancing the precision and relevance of your search results.

This project offers a comprehensive look at how vector search can be integrated with SQL, enabling complex and efficient data retrieval strategies in modern applications.

Built With

• oracle
• python
• rag
• vectorsearch