benayat / rag-with-spring-ai

a rag implementation example for document-based QA, using spring-ai, ollama, and postgres-pgvector vetor db.

RAG system demo

This is a demo RAG system, which is basically a QA bot which uses solid data to answer questions, rather than relying solely on it's own LLM knowledge.

Architecture

The System is based on the following components:

1. Code - spring boot framework with spring ai.
2. Local models deployment, including chat and embeddings generation: ollama.
3. Vector Database, for storing embeddings and querying them: postgres pgvector. All components used are free and open source.

Running the system

Prerequisites

• docker, make sure to login to dockerhub.

Running

simply download the file "docker-compose.yml" and run docker-compose up.