AI Observability & Evaluation

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

Search-o1: Agentic Search-Enhanced Large Reasoning Models

An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.

A zero-configuration tool for automatically exposing FastAPI endpoints as Model Context Protocol (MCP) tools.

SAP Cloud SDK for AI is the official Software Development Kit (SDK) for SAP AI Core, SAP Generative AI Hub, and Orchestration Service.

Build effective agents using Model Context Protocol and simple workflow patterns

Model Context Protocol Servers

In this SAP CodeJam we will look at the Generative AI Hub and how we can incorporate generative AI into our AI activities in SAP AI Core and SAP AI Launchpad.

Everything you need to know to build your own RAG application

The NVIDIA AgentIQ toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…

A Multi-Agent AI Tool that creates beautiful presentations with voice-overs 🎦🔥

dbt-sap-hana-cloud

Replace 'hub' with 'ingest' in any github url to get a prompt-friendly extract of a codebase

A course on aligning smol models.

This repository contains sample code for a CAP application utilizing the CAP-LLM-Plugin to establish a connection to SAP AI Core and SAP HANA Cloud for creating and storing vector embeddings, perfo…

Evaluate your LLM's response with Prometheus and GPT4 💯

This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Multilingual Sentence & Image Embeddings with BERT

This repository contains demos I made with the Transformers library by HuggingFace.

Flower: A Friendly Federated Learning Framework