retrievalaugmentedgeneration

Here are 7 public repositories matching this topic...

T2004-la / DocQuery

DocQuery: RAG-Based Intelligent Document Retrieval Assistant (CS50x Final Project)

python nlp flask machinelearning cs50 cs50x tfidf harvard harvardx computerscience textsearch naturallanguageprocessing harvardcs50 rag harvard-cs50 harvardcs50x vectorsearch generativeai retrievalaugmentedgeneration

Updated Sep 21, 2026
Python

TheAnacondA57 / BidAgent

Star

RAG agentique sur des documents de concession télécom publique (DSP/RIP), pensé eval-first et contrôlé en CI.

python evaluation agents rag fastapi opentelemetry llm pgvector llm-eval retrievalaugmentedgeneration

Updated Jun 29, 2026
Python

Aadya-Madankar / RAG_Notebooks

Star

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

python agent machine-learning ai vector store nlp-machine-learning llms langchain llamaindex agentic-ai retrievalaugmentedgeneration

Updated Oct 11, 2025
Jupyter Notebook

ElliotOne / nl-memory-architecture-production-ai-systems

Star

Local-first project demonstrating deterministic, memory-driven AI with evidence-only responses.

ai csharp dotnet embeddings rag softwarearchitecture llm retrievalaugmentedgeneration memorysystems aiarchitecture

Updated Mar 21, 2026
C#

estnafinema0 / RAG-for-Help.mail.ru

Star

A Retrieval-Augmented Generation (RAG) pipeline for help.mail.ru that features recursive web scraping, text chunking, FAISS-based semantic search, multiple embedding models (deepvk, MiniLM, LaBSE), uniformity & alignment evaluation, and TSNE visualization.

nlp tsne faiss rag retrievalaugmentedgeneration sentenceembeddings

Updated May 9, 2025
Jupyter Notebook

AbsarRaashid3 / RAGnosis

Star

An AI-powered clinical assistant using Retrieval-Augmented Generation (RAG) on the MIMIC-IV DiReCT dataset. It retrieves relevant patient cases and generates diagnostic reasoning using LLMs. Built with Streamlit, Transformers, FAISS, and SentenceTransformers.