# Code walkthroughs

> Code walkthroughs - Use code to create and validate external vector databases and LLMs; walk through
> a comprehensive GenAI overview.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.555995+00:00` (UTC).

## Primary page

- [Code walkthroughs](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/index.html): Full documentation for this topic (HTML).

## Related documentation

- [Agentic AI](https://docs.datarobot.com/en/docs/agentic-ai/index.html): Linked from this page.
- [list of considerations](https://docs.datarobot.com/en/docs/reference/gen-ai-ref/genai-consider.html): Linked from this page.
- [End-to-end code-first generative AI experimentation](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/genai-e2e.html): Linked from this page.
- [Create and deploy a vector database](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/create-deploy-vdb-builtin-embeddings.html): Linked from this page.
- [Create a ChromaDB vector database](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/chromadb-vdb.html): Linked from this page.
- [Build and host a Qdrant vector database](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/qdrantdb-vdb.html): Linked from this page.
- [Create vector databases from BYO embeddings](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/create-vdb-byo-embedding.html): Linked from this page.
- [Create external LLMs with code](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/ext-llm.html): Linked from this page.
- [Use the Bolt-on Governance API](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/genai-chat-completion-api.html): Linked from this page.
- [Use the DataRobot LLM gateway](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/dr-llm-gateway.html): Linked from this page.

## Documentation content

> [!NOTE] Availability information
> DataRobot's GenAI capabilities are a premium feature; contact your DataRobot representative for enablement information. Try this functionality for yourself in a limited capacity in the DataRobot trial experience.

For code-first users, the following sections provide code samples that create and validate external vector databases and LLMs. Additionally, use the end-to-end notebook to walk through a comprehensive overview of GenAI features.

See the [list of considerations](https://docs.datarobot.com/en/docs/reference/gen-ai-ref/genai-consider.html) to keep in mind when working with DataRobot GenAI.

| Topic | Description |
| --- | --- |
| End-to-end code-first generative AI experimentation | A comprehensive overview of the generative AI features DataRobot has to offer with the Python API client. |
| Create and deploy a vector database | How to use the Python SDK to create and deploy DataRobot vector databases using built-in embeddings. For custom embedding models (BYO embeddings), see the separate notebook below. |
| Create a ChromaDB vector database | How to load in and host a ChromaDB in-memory vector store, with metadata filtering, within a custom model. |
| Build and host a Qdrant vector database | How to build, validate, and register a Qdrant vector database to the DataRobot application using DataRobot's Python API client. |
| Create vector databases from BYO embeddings | How to build, validate, and register an external vector database from bring-your-own (BYO) embeddings. |
| Create external LLMs with code | How to set up and validate an external LLM using DataRobot's Python API client. |
| Use the Bolt-on Governance API | How to use the OpenAI Python library to make chat completion requests to a deployed LLM blueprint. |
| Use the DataRobot LLM gateway | How to use the OpenAI Python library to make chat completion requests directly to the DataRobot LLM gateway. |