Intelligent Financial Document Analyzer (Spring AI, RAG)

A Java-based Retrieval-Augmented Generation (RAG) application built with Spring AI to intelligently analyze financial documents. This project demonstrates how to combine AI with vector databases for efficient information retrieval and insight generation.

Features

• RAG Implementation: Uses Retrieval-Augmented Generation to provide context-aware responses from financial documents.
• Document Ingestion: Supports storing and retrieving documents efficiently using PG Vector.
• RESTful APIs: Query documents and generate AI-powered insights via REST endpoints.
• Token & Context Management: Optimized handling for cost-effective AI processing.
• Scalable Design: Easily extendable for additional document types or AI features.

Tech Stack

• Java 17+
• Spring Boot & Spring AI
• PostgreSQL with PG Vector
• RESTful API
• Maven/Gradle (build tool)

Setup

1. Clone the repository

   git clone https://github.com/danvega/java-rag.git
   cd java-rag