Practical Introduction to RAG: Completing Vector Search with pgvector
Have you wanted to implement RAG but felt overwhelmed by connecting everything from embeddings to vector storage and search? Based on real-world service development experience, this course explains the core concepts of pgvector and the service source code. By calling the API directly, you can quickly understand the entire flow of how RAG vector search works.
1 learners are taking this course
Level Basic
Course period Unlimited
PostgreSQL
PostgreSQL
vector-database
vector-database
RAG
RAG
embedding
embedding
backend
backend
PostgreSQL
PostgreSQL
vector-database
vector-database
RAG
RAG
embedding
embedding
backend
backend
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