Production-grade Anime RAG Recommendation System & Viral Receipt Generator. Built with Python, FastAPI, Streamlit, and Nomic Embeddings.
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Updated
Nov 25, 2025
Production-grade Anime RAG Recommendation System & Viral Receipt Generator. Built with Python, FastAPI, Streamlit, and Nomic Embeddings.
High-performance, localized AI vector matchmaking and semantic search microservice built with FastAPI, LanceDB, and PyTorch (Nomic embeddings) powering the AcademicGateway recommendation engine.
This notebook demonstrates a fully local implementation of Retrieval-Augmented Generation (RAG) using the Llama 3.1 model. It integrates LangChain for document retrieval, grading, and response generation, with optional web search capabilities via Tavily. The workflow ensures data privacy and efficient local inference.
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