Lists (4)
Starred repositories
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
The repository guides you through generating a synthetic dataset for a QA-RAG application using the Bedrock API, Python and Langchain.
Early access to new features for Microsoft Fabric's Semantic Link.
Python client library for the Galileo platform 🔭
Databricks framework to validate Data Quality of pySpark DataFrames
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
Summaries, transcripts, key points, and other useful insights from AWS re:inforce 2025 talks for those of us who don't have time to watch every presentation!
Demonstrates how to build a streaming enterprise agent using Azure AI Agent Service. This sample integrates local HR and company policy documents, Bing for external context, and GPT-4o (though the …
Follow along with our tutorials to get you up and running with Snowflake.
Python and TypeScript library for integrating the Stripe API into agentic workflows
GitHub repository for the Microsoft Defender for Identity in Depth book
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
LLM Evaluation and Observability System for Football Content
Latitude is the open-source prompt engineering platform to build, evaluate, and refine your prompts with AI
A simple integration of Bright Data MCP with new Agent framework by google
VibeOps - Cisco pyATS MCP Plus Many Other MCPs
The parent project for OpenZiti. Here you will find the executables for a fully zero trust, application embedded, programmable network @OpenZiti
Elkar - Task management for AI Agents, ready for Agent2Agent (A2A) protocol
End-to-end modular samples and landing zones toolkit for Terraform on GCP.
Fiddler Auditor is a tool to evaluate language models.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Guardrails for secure and robust agent development
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.