Mastering NLP: Advanced Content Retrieval System with Language Models | Complete Guide & Demo

This project demonstrates a complete pipeline for web scraping, document storage, and query processing using a Retrieval-Augmented Generation (RAG) model. The application leverages FastAPI for building RESTful APIs, Docker for containerization, and Milvus as a vector database for efficient similarity search. It also integrates Google Gemini API for advanced text generation.

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