AI-powered customer support email automation system built with Langchain & Langgraph
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Updated
Dec 22, 2024 - Python
AI-powered customer support email automation system built with Langchain & Langgraph
Educational toolkit for all things RAG (Retrieval Augmented Generation)
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.
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.
This python powered AI based RAG Scraper allows you to ask question based on PDF/URL provided to the software using local Ollama powered LLMs
Agentic RAG for journalling
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