L

LLMs

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

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

💬 Epic prompts to turbo-charge your LLM chatbots.

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.

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/

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

Production-ready RAG starter with hybrid search, Prometheus/Grafana observability, MLflow tracking, ModelProvider abstraction, and Ragas evaluation

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

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.

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

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.

Deterministic Reasoning Framework (DRF)

A framework for Trustworthy AI in Critical Decision Making

The Deterministic Reasoning Framework (DRF) is a command-line experimental tool designed to demonstrate a fundamental thesis in AI safety and reliability: critical decision-making tasks involving classification or ranking should not rely on pure LLM reasoning due to its stochastic and non-reproducible nature.

A web AI interface using a selected number of models and trained to teach the German language.

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