AI any text or file clusterer & sorting

AI any text or file clusterer & sorting

A RAG application for East West University (Only Science Faculty)

Simple agents are good for 1-to-1 retrieval system. For more complex task we need multi steps reasoning loop. In a reasoning loop the agent can break down a complex task into subtasks and solve them step by step while maintaining a conversational memory.

SOC Analyst Automation using a RAG model integrates a knowledge retrieval system with generative AI to automate SOC Level-1 tasks. It processes server logs, retrieves relevant security insights, and generates accurate responses, enhancing incident analysis, reducing response times, and improving efficiency in handling cybersecurity threats through

A Retrieval-Augmented Generation (RAG) using Llama Model Fine Tune - The system that extracts and embeds Cirebon cuisine knowledge into a PostgreSQL database with pgvector, enabling efficient retrieval and contextual responses using FastAPI and Docker.

GPU constrained! No More. Microsoft released Phi3 specially designed for memory/compute constrained environments. The model support ONXX CPU runtime which offers amazing inference speed even on mobile cpu.

Local RAG Chatbot with Ollama on Mac

buddyRAG - a small AI rag chatbot for chatting with your Markdown notes. Yep, you can use it with Obsidian.

YuccAI is a voice assistant website for Universitas Ciputra, offering real-time answers to university-related questions via voice commands. With conversation history and topic recommendations, it simplifies access to campus information through innovative AI technology.

"Ask your PDF" ChatBot : Streamlit App, LangChain, llama3, Nomic embeddings

This project demonstrates how to integrate text embeddings using nomic-embed-text and granite-embedding models with PostgreSQL and pgvector. You can perform similarity searches, text analysis, and more.

Chat with the book "Developer Relations" : a simple local RAG AI chatbot using ollama

summary-ai is your intelligent csv analyser and summariser, using a RAG pipeline to extract key insights from your data files and provide concise, ai-powered summaries and insights 📊🧠

YuccAI is a voice assistant website for Universitas Ciputra, offering real-time answers to university-related questions via voice commands. With conversation history and topic recommendations, it simplifies access to campus information through innovative AI technology.

An intelligent research assistant that combines vector search and LLMs to help you interact with your research papers through natural language queries and receive structured, context-aware responses.

SmartTripAI: Your AI-powered travel assistant for effortless trip planning. Find flights, hotels, restaurants, and local insights with natural language.

Implementing a local RAG pipeline that processes PDFs and lets users query information from these documents using LLMs.

Intelligent AI-powered system that analyzes resumes against job descriptions using advanced NLP and vector similarity matching. Perfect for HR teams, recruiters, job seekers, and recruitment agencies seeking automated, objective resume analysis and optimization. ⚡ Performance: 30-60 second analysis with 85%+ accuracy for ATS predictions

YuccAI is a voice assistant website for Universitas Ciputra, offering real-time answers to university-related questions via voice commands. With conversation history and topic recommendations, it simplifies access to campus information through innovative AI technology.