56-pgvector - Learning Vector Similarity Search with pgvector and PLPGSQL.pptx

Vector Similarity Search with PGVector and PLPGSQL

1. PostgreSQL – PGVector Vector Similarity Search with PGVector and PLPGSQL

2. PostgreSQL Vector Similarity Search with PGVector and PLPGSQL Introduction What is PGVector ? Why use vector similarity search? What we will cover

3. PostgreSQL Vector Similarity Search with PGVector and Python3 Setting up the Environment Prerequisites: PostgreSQL, PGVector , and PLPGSQL Installing PGVector https:// github.com/pgvector/pgvector

4. PostgreSQL Vector Similarity Search with PGVector and PLPGSQL Implementation – Part 1 Creating the Database and the Connection Defining helper functions ( create_table , insert_items )

5. PostgreSQL Vector Similarity Search with PGVector and PLPGSQL Implementation – Part 2 Generating embeddings Inserting data into the database Performing similarity search

6. PostgreSQL Vector Similarity Search with PGVector and PLPGSQL Understanding Vector Embeddings What are vector embeddings? How do they represent data?

7. PostgreSQL Vector Similarity Search with PGVector and Python3 Similarity Search Concepts How similarity search works Distance metrics in PGVector

8. PostgreSQL Real-World Applications Possible use case scenarios Semantic search Recommendation systems Image similarity Anomaly detection Span diverse domains

9. Demo

10. Conclusion Key Insights Setup PGVector , PLPGSQL Solution, Explanation of embeddings , and related concepts PGVector Empowers high-dimensional data handling, enhancing search, and recommendation systems Explore further Experiment with models, metrics, scale, and integration