Build a RAG assistant
Index PDFs, wire up retrieval, ground answers with citations and ship the assistant to your team in a day.
Hands-on, end-to-end guides that take you from raw data to a production deployment, with code you can copy.
Index PDFs, wire up retrieval, ground answers with citations and ship the assistant to your team in a day.
A practical playbook for moving from legacy warehouses to an open, governed Iceberg lakehouse.
Design semantic layers, metrics and dashboards that scale without becoming a maintenance burden.
Patterns for evaluation, monitoring, cost control and rollback when running LLM apps at scale.
Browse guides by goal — analytics, AI assistants, ingestion or governance.
Each guide ships with a starter repo and seed data so you can run it immediately.
Swap in your sources, models and policies — the structure stays the same.
Follow the operations checklist to roll out safely with monitoring in place.
Our solutions engineering team writes them based on real customer projects, then customers review for accuracy.
Yes. All guides are free to read and use. Many include code under a permissive open-source license.
Definitely. Open an issue on our docs repo or reach out — we prioritize based on community demand.
We cover the most common stacks (dbt, Airflow, Snowflake migration, Databricks, OpenAI). Niche stacks may live in the community cookbook.
Jump into a hands-on walkthrough and ship something real this week.