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.

Locally run multi-tier, multi-model, multi-modal, multi-mode Agentic AI Assistant Training/Inference Instance with CRAIID - Continuous Redundant AI Instance Dialogue - A proprietary personalized context/memory compression/storage/management subsystem designed to overcome ctx fatigue while maintaining accuracy, integrity & fidelity. And a lot more!

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 RAG application for East West University (Only Science Faculty)

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.

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.

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

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.

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.

Forged a compiler-native intelligence engine that navigates code through AST semantics, intent inference, and architecture-level reasoning.

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.

Hybrid RAG system for complaint classification

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