Resources to Build
AI/ML Products

Get full access to our library of ebooks, case studies,
webinars, blog posts, and more.

ebook

The
GenAI Cookbook

Download Now →

Resources

Cookbook Essential Airflow Recipes to Kickstart Your GenAI Projects Get Guide → White Paper Guide to Data Orchestration for Generative AI Download White Paper → Webinar Optimize ML/AI Workflows with Essential Airflow Features Watch Webinar → Webinar Run LLMOps in production with Apache Airflow® Watch Webinar → Case Study Anastasia Delivers AI-Powered Insights with Astro Read Study → Video How the World’s Best ML Teams Get AI into Production Watch Video → Blog Snowflake Anomaly Detection and Cost Management with Machine Learning and Airflow Read Blog Post → Article Gen AI integration and orchestrating the cloud: A blueprint for success Read Article → Webinar Orchestrate next-generation AI tools: Explore six new Airflow providers Watch Webinar → Learn Guide ML pipelines with the Astro Cloud IDE Read Guide → Webinar Power your LLMOps with Airflow’s Weaviate Provider Watch Webinar → Blog Reliable Data Orchestration for AI Applications at Dosu Read Blog Post → Webinar MLOps, AI, and Airflow at Laurel for Perfect Timekeeping Watch Webinar → Learn Guide Orchestrate Pinecone operations with Apache Airflow® Read Guide → Blog Journey to Enhanced Retrieval Augmented Generation (RAG) with Cohere Rerank Read Blog Post →

Reference Implementations

Explore these open-source reference implementations to find guidance or inspiration for deploying your own AI/ML applications.

Ask Astro A chatbot application powered by LLM, used to answer questions about Apache Airflow® and Astronomer. View Source Code → SnowPatrol An MLOps application on Airflow designed to detect anomalies and manage Snowflake costs. View Source Code →

Registry

Use OpenAI LLMs to Embed and Visualize Results

This DAG shows how to use the OpenAI Airflow provider to interact with the OpenAI API.

Airflow Community

Generate Vectors with the Airflow Weaviate Provider

This DAG runs a simple MLOps pipeline to import data, generate vectors, and query the vectors.

Airflow Community

Query Vectors with Pinecone and Airflow

This DAG uses the Pinecone Airflow Provider to import data, generate vectors, then query based on user-provided inputs.

Airflow Community