AI any text or file clusterer & sorting

MCP server that connects Claude to local Ollama models, delegating simple tasks to save tokens for complex reasoning

An AI book recommendation system built with Streamlit and Ollama. It uses 'nomic-embed-text' for semantic search and 'llama3.2:1b' for generating in-depth analyses of books and user queries.

Local RAG Chatbot with Ollama on Mac

AI any text or file clusterer & sorting

🤖 Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.

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 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.

Este repositório foi criado para rodar uma IA generativa com RAG 100% local.

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.

Multimodal RAG chatbot with voice input for fashion product search 🤖🎙️👟⚡

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.

LOCO (Local-Only Contextual Orchestration) is designed for organizations and individuals who need the power of RAG without the privacy risks or costs of cloud-based LLMs.

Hybrid RAG system for complaint classification

LlamaTalks is a Spring Boot-based chatbot application leveraging LangChain4j and Ollama for advanced conversational AI with Retrieval-Augmented Generation (RAG) capabilities. It supports streaming responses, conversation management, document ingestion, and persistent chat history.

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

Fractal is a sophisticated AI-powered CLI agent that brings intelligent coding assistance directly to your terminal. Built with LangChain and LangGraph, it combines advanced RAG capabilities, multi-database support, and context-aware memory management to provide a seamless development experience.

A RAG-powered AI assistant that helps parents with baby care advice, combining document knowledge with real-time web information. Built with Streamlit, Google's Generative AI, and FAISS for efficient semantic search.

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