This repository demonstrates examples of different RAG optimizations such as Query Expansion, Query Compression, Query Routing, Metadata Filtering, Reranking and RAG-Fusion. This repository demonstrates how you can build a RAG application using Amazon Web Services Bedrock, RDS - Postgres as a Vector Store (using PgVector extension already built-in in RDS) and S3, and integrating that into a java application using Langchain4j. Note: In order to run the code and examples, please fill out your own keys in the config file.