L

LLMs

A unified Python interface to select and use multiple Large Language Model (LLM) providers through a common API.

AI assistant for the GNOME Evolution mail client — summarize incoming messages and draft replies with your choice of LLM.

An AI dev agent built local-first. It gives your models direct access to your codebase, file system, and developer tools, turning them from chat assistants into active developers that actually get things done. Works with various providers, just like Claude Code, but private and fully under your control.

💬 Epic prompts to turbo-charge your LLM chatbots.

🛒 AI chat & product/category summaries in Amazon shopping, powered by the latest LLMs

🤖 AI chat & search summaries in Google Search, powered by the latest LLMs

Production-ready RAG starter: hybrid search, chunking strategies, observability (Prometheus/Grafana), MLflow tracking, drift detection, GDPR deletion, and evaluation. The parts the tutorials skip.

Robot Framework test harness for LLM evaluation — deterministic grading, containerized execution, multi-model comparison, safety testing, test history, and CI/CD-native.

To address limitations in existing CI/CD systems, we developed CI Agent, an LLM-powered automation system that transforms pipelines into self-healing systems.

“Every time a CI pipeline fails, a developer stops coding and starts debugging—we wanted to eliminate that interruption.”

CI Agent integrates with platforms like GitLab and automatically detects failures, analyzes logs using a hybrid AI approach, identifies root causes, selects appropriate fixes, executes safe remediation actions, and notifies results via Slack.

This converts CI/CD from a passive monitoring system into an intelligent assistant, reducing manual debugging effort and improving development efficiency.

AI Development Platform. Create Datasets - Train - Monitor - Share

LogeIon

LogeIon is an open AI development and orchestration platform designed to build, fine-tune, evaluate and monitor domain-specific intelligent systems.

Originally developed for advanced Legal AI research, LogeIon is evolving into a modular platform for creating custom AI systems across any field — law, medicine, engineering, finance, science, education and beyond.

The platform combines:

AI fine-tuning pipelines Retrieval-Augmented Generation (RAG) Multi-model orchestration Dataset generation workflows Real-time monitoring dashboards Evaluation and benchmarking systems GPU and inference management Local-first and hybrid cloud AI infrastructure ⸻

Core Vision

LogeIon aims to provide developers, researchers and organizations with full control over the AI lifecycle:

collect knowledge generate datasets train models evaluate reasoning monitor performance deploy specialized AI systems without relying on opaque closed ecosystems.

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Technology Stack

FastAPI orchestration backend Qdrant vector database Ollama / vLLM / llama.cpp inference Transformers / LoRA / Unsloth fine-tuning LangGraph AI workflows Real-time monitoring & analytics Modular local-first architecture ⸻

Current Focus

Italian Legal AI Retrieval-enhanced reasoning Citation-aware generation Hallucination reduction Autonomous dataset pipelines AI evaluation frameworks Multi-stage training orchestration ⸻

Long-Term Direction

LogeIon is evolving beyond Legal AI into a general-purpose AI development platform capable of powering highly specialized reasoning systems for any domain.

The goal is to create a transparent, modular and extensible infrastructure for the next generation of open intelligent systems.

KiM Explorer is a two-stage RAG application for transport policy research publications from the KiM Netherlands Institute for Transport Policy Analysis. Users perform semantic search to identify relevant documents, manually select publications, then interact with an LLM using full document context rather than chunks. Built with Python/NiceGUI/OpenAI API, featuring citation generation, conversation history, filtering, and web/CLI interfaces. https://explorer.kim.rijkscloud.nl/

An offline chatbot powered by WebLLM. Some LLMs available for loading are Llama-3.2, Mistral v0.3 and Stablelm 2. No MLOps required for deployment. Runs in-brower using WebGPU. Demo at: https://vite-webllm.onrender.com

Isolating local MCP servers from sensitive data

LLM Workflow Router is a stateless middleware engine designed to enforce explicit execution topology in AI systems that rely on large language models. It evaluates interaction metadata against strictly declared workflow rules and returns a terminal state.

AI Image Renamer is a Python CLI tool that leverages generative artificial intelligence to rename your images based on what the image shows.

This project is a Retrieval-Augmented Generation (RAG) application built using LangChain. It leverages advanced language models and vector databases to answer questions about epidemiological modeling, software development, and maintaining the EPP model for HIV modeling.

a self-hosted, locally-routed LLM stack with a default-deny security posture. your models. your machine. your terms.

Multimodal architecture that is capable to sensing emotion from chat occurrences, with added support for emojis, emoticons, and internet slangs.

Flexible GraphRAG: Python, LlamaIndex (LangChain also coming) Docker Compose: 8 Property Graph dbs, 3 RDF graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, RDF ontologies, schemas, LLMs, document processing, Docling, LlamaParse, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular TypeScript frontends, FastAPI backend, REST API, MCP Server

A minimal Python3 program to collect and store JSON responses concurrently from LLM models using zai-sdk.