Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...
GitHub

carteakey/claude-databricks-eda

. ├── .env # Your credentials (DO NOT COMMIT) ├── pyproject.toml # uv dependencies ├── requirements.txt # pip fallback ├── databricks_eda/ │ ├── databricks_query.py # Query client (supports SELECT, ...
GitHub

2.8-RAG_Simple.py

#AZURE_OPENAI_API_KEY = os.getenv("AZURE_OPENAI_API_KEY") ...
marktechpost

Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)

Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the ...
Geeky Gadgets

How to Build Claude Code Skills for Task Automation & Workflows

Claude code skills are an effective way to automate repetitive workflows, combining structured logic with adaptive AI-driven processes. As Jannis Moore explains, these skills are built around two core ...