BestRAG: A library for hybrid RAG, combining dense, sparse, and late interaction methods for efficient document storage and search.

Just some initial learning for usage of AI models within .NET platform with Semantic Kernel APIs

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.

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.

Our hackathon project is a Flask-based web application that enables users to generate animated infographic videos based on input text. This MVP leverages the Pexels API for video content and incorporates advanced natural language processing (NLP) techniques, including LangChain and stable diffusion techniques, to analyze and create visual impact

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

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

A football domain-specific knowledge dialogue model implemented using Retrieval-Augmented Generation (RAG) + GPT-3.5 API + Gradio frontend~

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.

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

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...

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.

This is a full-stack web application that enables users to upload documents, query an index built from those documents and retrieve responses powered by a Large Language Model (LLM) using Retrieval-Augmented Generation (RAG).

Your Personalised Daily News Recommender.

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

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

Frontend Interface for a RAG Chatbot that provides information about the Federal University of Petroleum Resources

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.