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Personal Project
Spring Boot RAG Backend
Project Vision
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.
Key Features & Innovations
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
Final Outcome
"Production-grade RAG backend with seamless vector search capabilities"
Project Links
Built With
JavaSpring BootDockerChromaDBGenAI