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.

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.

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.

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.

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.

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 📊🧠

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

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

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.

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

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.

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

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.

AI PDF Analyzer: Chat with your PDFs! LLM-powered app for Q&A, retrieval, & document insights. Uses LangChain, LangGraph, Groq, Nomic Embeddings & MongoDB. Frontend included.

This project provides a FastAPI-based web application for scraping websites, storing the content in a FAISS index, and using a chatbot model (via Ollama) to answer queries based on the scraped data. The app handles pagination of websites and ensures that irrelevant content (such as ads, navigation, footers, etc.) is excluded from indexing.

AI-powered YouTube video analysis tool using RAG with Ollama and Mistral 7B. Chat with any YouTube video to extract insights and answer questions.