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nomic-embeddings

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High-performance, localized AI vector matchmaking and semantic search microservice built with FastAPI, LanceDB, and PyTorch (Nomic embeddings) powering the AcademicGateway recommendation engine.

  • Updated Aug 9, 2026
  • Python
RAG-Agents-with-Llama3.1

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.

  • Updated Mar 19, 2025
  • Jupyter Notebook

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