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An advanced multimodal Retrieval Augmented Generation (RAG) system leveraging Gemini, HuggingFace embeddings, and Pinecone Vector DB to semantically parse complex PDF documents, with an asynchronous microservice architecture using Kafka, Langchain, FastAPI, JWT authentication, and Docker for scalable, real-time contextual knowledge extraction.
Backend projects covering pagination, caching, internationalization (i18n), and queuing systems in JavaScript. These projects focus on efficient data handling, performance optimization, multi-language support, and asynchronous task management for building scalable applications.