The easiest way to work with LLMs @deno_land
The easiest way to work with LLMs  @deno_land
Uploaded April 2025 | Updated September 2026, 3 weeks ago
Deno's batteries-included JavaScript/TypeScript toolchain + Jupyter = simple way to work with LLMs

View source here: github.com/kitsonk/deno-llm

Read the accompanying blog posts:
deno.com/blog/the-dino-llama-and-whale
deno.com/blog/build-custom-rag-ai-agent

00:00 Intro
00:36 Fundamental concepts
01:00 Setting up
01:50 Building RAG agent
02:40 Pull new models
03:02 Process, parse, convert blog content to vector memory
03:42 Graph of RAG agent steps
04:12 Creating each step
05:25 Putting steps together
05:57 Testing the RAG agent


Resources
- Ollama: ollama.com/download
- Deepseek: deepseek.com
- Jupyter notebooks: jupyter.org


Deno is an all-in-one batteries included JavaScript and TypeScript toolchain.

Website: deno.com
GitHub: github.com/denoland
Discord: discord.gg/deno
Bluesky: https://bsky.app/profile/deno.land
Mastodon: fosstodon.org/@deno_land
Twitter: https:/twitter.com/deno_land
The easiest way to work with LLMsDeno Weekly Update 2024-01-14Deno Sessions: v1.37, Jupyter Notebooks with Noteable.io, and moreFresh Partials are Here!Fresh is here to stayConfiguration with deno.jsonWhat is the Deno team working on?The improvements never stop!ECMAScript Modules in DenoDenos New Private RepositoriesDeno v1.31: package.json supportAnnouncing Deno 2
Deno |

The easiest way to work with LLMs

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER