The Journey of RAG: From Notebook to Microservices

RAG-Microservice: A robust, scalable question-answering service leveraging the Retriever-Answer Generator (RAG) architecture. Built with [Tech/Models used, e.g., Elasticsearch, GPT-3], this service efficiently retrieves relevant documents and generates precise answers for complex queries.

This system implements a micro-microservice architecture, and uses vuetify+langchain+local large model+local vector database to build a RAG system.

Using Microsoft GraphRAG+ChatGPT, we index the book "A Christmas Carol" and ask complex relationship questions about the text

Hands-on Microhack created by Microsoft Office of the CTO Americas, focused on RAG AI.

Microhack focused on RAG AI with the goal of providing a half-day hands-on workshop to enable skilling around Microsoft technologies and services.

A minimalist command-line tool for Retrieval-Augmented Generation (RAG) chat with your documents using local LLMs via Ollama.

A comprehensive, containerized Second Brain Database built with FastAPI, MongoDB, and Redis. Features advanced RAG, family management, and micro-frontend architecture.

RAG architecture with Databricks Vector Search and Databricks Model Serving. A movie recommender chat bot was developed with LLama-2-7b-hf-chat where a user can type in a movie description (e.g. romantic comedy set in New York) and the chat bot recommends a movie based on a corpus of plot summaries and gives a micro summary.

Refactoring my NAF AC4 Workshop from openAI to Foundry Local

RAG API micro-service for Kakawa Bot

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production-ready Retrieval-Augmented Generation (RAG) chatbot microservice built with FastAPI, designed for enterprise workloads requiring high performance, scalability, and reliability. The service delivers real-time streaming responses, robust LLM caching, advanced vector search, and a seamless knowledge ingestion pipeline, all wrapped in a clean

This project implements a lightweight Retrieval-Augmented Generation (RAG) system using a microservices architecture. It includes embedding, file storage, main RAG, document parsing, API gateway, and frontend services. Suitable for knowledge base, intelligent Q&A, and similar scenarios.

Deploy GraphRAG with "pip install" approach and "GraphRAG Accelerator" approach on Azure

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lightweight Retrieval-Augmented Generation (RAG) micro-service

Микросервисная система для анализа текстов на экстремизм (по минюсту РФ) с использованием RAG (Retrieval-Augmented Generation) и Chrome Extension.

RAG를 활용한 컨테이너 기반 마이크로서비스 운영 환경 관리 지원 시스템

A RAG Microservice built with Catalyst,Open AI and Pinecone

The repo consists of code to replicate the Graph RAG paper by Microsoft

Fabric Database and RAG application with GPT4o

The core feature of this microservice is the implementation of a Retrieval-Augmented Generation (RAG) system, allowing for the retrieval of relevant documents or information to augment the language model's responses.

Embedded SQLite micro-framework for hybrid search (FTS5 + vectors), IoT and RAG. No server. No Docker. No network. One .db file.

collection of practice notebooks and micro-projects, documenting my learning journey in Machine Learning, Neural Networks, Generative AI, and Retrieval-Augmented Generation (RAG).

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MicroRag: A fastAPI for inferencing LLMs and other ML models. + Agent_Kitty, a Discord bot that interacts with the API to provide LLM responses to users.

Desafio Técnico Jump - Micro RAG

본 프로젝트는 실시간 채팅 메시지를 기반으로 Milvus 하이브리드 검색을 수행하여, 사용자 성향 점수를 Kafka를 통해 전송하는 RAG 마이크로서비스입니다.