Overview

• Implementing pgVector as vector database on top of PostgreSQL, use it as retriever and pass it to LLM as RAG.

Pre-requisite

• Docker: To pull pgvector, postgresql and pgadmin interface images from DockerHub and run it, setup vector database and serve as retriever.
• OpenAI account: To call the LLM api.
• Memory: 12GB and above.

todo

• Create docker-compose.yml to run both container at the same time easily.
• Building multimodal RAG db on PGvector.