PostgreSQL pgvector and RAG: Best Practices and Examples for Better Results
Retrieval-Augmented Generation (RAG) has become one of the most practical applications of AI in production systems, and PostgreSQL’s pgvector extension has emerged as a robust solution for implementing vector search. However, getting optimal results requires more than just installing pgvector and throwing embeddings at it. Let’s explore proven best practices and real-world examples to help […]
