Advanced RAG System with PDF Parsing

I successfully designed and implemented a cutting-edge RAG system, tailored to enhance data retrieval accuracy and efficiency. The project involved parsing PDFs to extract and structure data, creating embeddings, and storing them in the vector database for optimized retrieval. Some of the techniques used are Rewrite-Retrieve-Read, Hyde, query router, and hierarchical indexing. These methods collectively improved the system’s performance, ensuring accurate and quick data retrieval.