A medical NLP project developed for the WS2023 course, focusing on extracting, processing, and analyzing medical text data using advanced NLP techniques. This project aims to improve information retrieval and decision-making in healthcare.

A chatbot that summarizes and analyzes PDF documents using Llama 2, Flask, and LangChain. Subsequently, you can post questions to the chatbot regarding the PDF's contents and get answers...

use local LLMs to do Retrial-Augmented Generation with local Chroma, function calls and tool usage

DocWise is a Django-based web application that manages medical consultations and reports. It features medical report processing, doctor registration, appointment booking, video calling via WebRTC, and a chatbot with Retrieval-Augmented Generation (RAG) for enhanced interactions.

Simple rag implementation for any WordPress blog. Leverages the bootstrap, python, milvus vector dB, and configurable options for LLM providers (Open AI, Anthropic) and embeddings.

Needle components for Haystack projects.

Retrieval-Augmented Generation on YouTube transcripts and PDFs to deliver accurate and contextual answers.

Your Personalised Daily News Recommender.

Intent API is a tool for managing network devices, using Netmiko for SSH control and NetBox for network data, enabling vendor-agnostic, intent-based operations.

The Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development leverages advanced technologies and specialized agents to streamline the entire software development lifecycle. This repository contains Django based Web Application

The Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development leverages advanced technologies and specialized agents to streamline the entire software development lifecycle. This repository is django based rest api of this project

Data-Science-and-Insight-Agent-RAG-LLama3-Lava-LLM-Django-WebApplication is an advanced AI-driven chatbot designed to assist in data science, document analysis, and image interpretation. This repository contain the Django based rest apis of this project.

Data-Science-and-Insight-Agent-RAG-LLama3-Lava-LLM-Django-WebApplication is an advanced AI-driven chatbot designed to assist in data science, document analysis, and image interpretation.This repository contain the Django based Web Application of this project.

A question-answering framework empowered with a custom retrieval-augmented generation (RAG) pipeline to answer queries on local documents

This project aims to use Retrieval Augmented Generation (RAG) techniques to build a question answering system.

A scalable and containerised system integrating a Retrieval-Augmented Generation (RAG) framework with Large Language Model (LLM) and LangChain, enabling dynamic quiz generation from PDF documents.

Fit-Mind AI Chatbot is a comprehensive AI-powered chatbot system with advanced natural language processing capabilities, document handling, and various integrations. The project consists of a frontend built with modern web technologies and a backend that leverages powerful AI models and external services.

RAG (Retrieval-augmented generation) app made with Flutter, Firebase, Gemini, LangChain and Pinecone.

Rate My Professor AI Assistant helps students evaluate professors by providing accurate, context-aware answers. Built with Next.js, React, Pinecone, and the Gemini API, it uses Retrieval-Augmented Generation (RAG) to combine real-time data and AI for detailed, relevant responses about professors and courses.

Building a Question and Answer (Q&A) system for developers using a Retrieval-Augmented Generation (RAG). framework is an excellent approach for assisting with technical questions.