🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.

✨ AI interface for tinkerers (Ollama, Haystack RAG, Python)

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

This repository provides core code for managing large volumes of video footage, enabling content understanding, automatic tagging, and vector database storage. It integrates multimodal models and LLMs for accurate descriptions and semantic search. A web interface allows visualization.

Multimodal Document Processing RAG with LangChain

A CLI Template/Framework for creating AI Command line Agents in C

A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with.

Dataviz AI is an AI powered web application that enables users to generate animated infographic videos based on input Data , text,files. 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

Intent API enables the management of network devices with the help of ChatGPT by utilizing Netmiko for SSH control and NetBox for centralized network data management to perform vendor-agnostic, intent-based operations.

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.

AI-powered customer support assistant designed to handle food delivery complaints efficiently. Built using LangChain, RAG (Retrieval-Augmented Generation), PostgreSQL, and email automation, the chatbot provides empathetic, context-aware responses to customer queries regarding order status, payment issues, and refunds.

[WORK IN PROGRESS] Complete vector search stack • Document processing pipeline • Semantic chunking • Embedding generation • Advanced retrieval strategies • Production-ready microservice

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

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

An AI-powered email assistant that retrieves emails and generates intelligent responses

Golang RAG/LLM framework with Memory and Transcriber - All-in-One Platform

A simple framework for packing source packages written in any programming language into a text file and restoring them into the original directory structure

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.

LangGraph-based agent responds to queries using Retrieval-Augmented Generation (FAISS database) and a self-evaluation feedback loop. Grades document retrieval relevance, rewrites queries, and generates answers or quizzes with on-device Ollama LLM integration

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.