🔥 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)
Welcome! 😊 This is the official code release of EviNote-RAG, and we’re happy to share it with the community.
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.
Agentic Shopify Chatbot with MCP integration, embedded directly into Shopify via a Theme Extension
BestRAG: A library for hybrid RAG, combining dense, sparse, and late interaction methods for efficient document storage and search.
Multimodal Document Processing RAG with LangChain
Dataviz AI is an AI powered web application that enables users to generate animated infographic videos based on input Data ,files. This MVP leverages the gen ai models for video content and incorporates advanced natural language processing (NLP) techniques, including LangChain and stable diffusion techniques, to analyze and create visual impact.
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.
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.
An AI-powered email assistant that retrieves emails and generates intelligent responses
RAG (Retrieval-augmented generation) app made with Flutter, Firebase, Gemini, LangChain and Pinecone.
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.
Just some initial learning for usage of AI models within .NET platform with Semantic Kernel APIs
Golang RAG/LLM framework with Memory and Transcriber - All-in-One Platform
This repository contains a Streamlit-based chatbot designed to assist OT (Operational Technology) service and support teams by answering questions based on a library of Standard Operating Procedure (SOP) documents. The system uses a RAG (Retrieval-Augmented Generation) pipeline built with Langflow to provide accurate, context-aware answers.
Efficiently search and retrieve information from PDF documents using a Retrieval-Augmented Generation (RAG) approach. This project leverages DeepSeek-R1 (1.5B) for advanced language understanding, FAISS for high-speed vector search, and Hugging Face’s ecosystem for enhanced NLP capabilities. With an intuitive Streamlit interface and Ollama for mode
[WORK IN PROGRESS] Complete vector search stack • Document processing pipeline • Semantic chunking • Embedding generation • Advanced retrieval strategies • Production-ready microservice
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