A public repository for all things RAG (Retrieval Augmented Generation)
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Updated
Jul 10, 2024 - Jupyter Notebook
A public repository for all things RAG (Retrieval Augmented Generation)
Educational toolkit for all things RAG (Retrieval Augmented Generation)
This repository contains the implementation of a Retrieval-Augmented Generation (RAG) agent using Large Language Models (LLMs). RAG agents combine the power of information retrieval with text generation, enabling applications such as intelligent question-answering systems, and more.
A full-stack, microservices-based application for secure document management, enabling users to upload, parse, index, and query various file types through advanced NLP and RAG agents. Built with Docker and Kubernetes for scalability, and integrates Elasticsearch, Redis, and AWS S3 for efficient storage and search capabilities.
Agentic RAG for journalling
LangGraph RAG agent - Travel planner advisor
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