---
title: "From NanoChat to Dagster: Building Your Ingestion Pipeline and Custom Tokenizer"
url: https://daily.dev/posts/from-nanochat-to-dagster-building-your-ingestion-pipeline-and-custom-tokenizer-rz93amuvy
source_url: https://dagster.io/blog/orchestrating-nanochat-building-the-tokenizer
type: article
source: "Dagster Blog"
published: 2026-05-31T07:44:06.521Z
updated: 2026-06-04T02:16:57.685Z
tags: ["backend", "dagster", "nlp", "rust"]
reading_time: 7
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# From NanoChat to Dagster: Building Your Ingestion Pipeline and Custom Tokenizer

**[Dagster Blog](https://daily.dev/sources/dagster-blog)** · 7 min read · 0 upvotes · 0 comments

## Summary

A tutorial series on wrapping Karpathy's nanochat educational LLM project with Dagster for orchestration. Covers downloading and partitioning 1,823 FineWeb Parquet shards as Dagster assets, building a high-speed BPE tokenizer using a Rust extension (rustbpe) via PyO3 bindings with Apache Arrow for zero-copy Parquet reads, and promoting tokenizer validation checks to first-class Dagster asset checks. The approach makes the full LLM training pipeline modular, observable, and reproducible.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://dagster.io/blog/orchestrating-nanochat-building-the-tokenizer>

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Tags: [#backend](https://daily.dev/tags/backend), [#dagster](https://daily.dev/tags/dagster), [#nlp](https://daily.dev/tags/nlp), [#rust](https://daily.dev/tags/rust)

[View this post on daily.dev](https://daily.dev/posts/from-nanochat-to-dagster-building-your-ingestion-pipeline-and-custom-tokenizer-rz93amuvy)
