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1. Intro_to_RagIntro_to_RagPublic

   This project demonstrates a simple implementation of a Retrieval-Augmented Generation (RAG) system using Python. It includes cosine similarity calculations to find the most relevant document from a…

   Jupyter Notebook 1

2. Journal-application-APIJournal-application-APIPublic

   The Journal Application is a Spring Boot-based web application for managing journal entries. It allows users to create, read, update, and delete journal entries, with MongoDB as the data storage. T…

3. Q-A-RAG-SYSTEMQ-A-RAG-SYSTEMPublic

   This project is a Question Answering (QA) system that leverages Google Gemini LLM and document embeddings using llama-index. It enables semantic search and question answering over your own document…

   Jupyter Notebook 2

4. Text-To-Retrieval-SQLText-To-Retrieval-SQLPublic

   This project is a Streamlit web application that uses Google Gemini (via the google-generativeai API) to convert natural language questions into SQL queries. Users can type questions about student …

   Python

5. Exp-Intro-to-GitHub-Flow-Cohort-2/series-intro-to-github-flow-UnitedstuffExp-Intro-to-GitHub-Flow-Cohort-2/series-intro-to-github-flow-UnitedstuffPublic

   Forked from Exp-Intro-to-GitHub-Flow-Cohort-2/series-intro-to-github-flow-areliaIsATeacher

   exp-intro-to-github-flow-cohort-2-classroom-ed7b0d-intro-Series-Intro-to-GitHub-Flow-template-repo created by GitHub Classroom