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Built a production-grade Spring Boot backend application integrating ChromaDB as a vector database for Retrieval-Augmented Generation (RAG) pipelines. Containerized the entire stack using Docker Compose for seamless local development and deployment. Implemented semantic search and document retrieval capabilities powered by vector embeddings.
ChromaDB vector database integration for semantic search
Docker Compose for containerized local development
RAG pipeline for intelligent document retrieval
Spring Boot REST API with clean architecture
"Production-grade RAG backend with seamless vector search capabilities"