# DataExpert-io/llm-driven-data-engineering

This is a public repository to go over all the LLM-driven data engineering concepts.

Repository: https://github.com/DataExpert-io/llm-driven-data-engineering
Canonical: https://ross.abutalabs.com/products/llm-driven-data-engineering
Language: Python
License Family: other
Last push: 2024-10-26T21:07:27+00:00

## Health v2 (maintenance only)
Score: 28/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 77
- inputs: {"age_days": 1086, "days_push": 676, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1156, forks 236 (observed 2026-08-28T04:03:47.957596+00:00)

## What it is
A public educational repository accompanying DataExpert's bootcamp course on LLM-driven data engineering concepts. It contains Python labs covering LLM usage, LangChain-based SQL generation, RAG with vector databases, and PostgreSQL setup.

## Use cases
- learn how to apply LLMs to data engineering workflows
- generate SQL queries automatically with LangChain
- build a RAG chatbot with a vector database
- follow a structured LLM course with lectures and labs
- practice LLM-driven data pipelines with PostgreSQL

## When to choose
- you want guided lessons and labs on combining LLMs with data engineering
- you are a student of DataExpert's bootcamp needing the companion code
- you want hands-on examples of LangChain, RAG, and vector databases

## When to avoid
- you need production-ready data engineering tooling
- you want a maintained library with a license and releases
- you need self-contained documentation without external lecture videos

## Facets
- artifact type: learning-resource
- maturity: active
- function: llm-inference, rag, etl, data-science
- domain: large-language-models, education, tutorials
- platform: python, cross-platform
- tags: course, llm-driven-data-engineering, langchain, sql-generation, vector-database, bootcamp, data-engineering

## Member repositories
- DataExpert-io/llm-driven-data-engineering (main) score 28

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:47.957596+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:32:05.155447+00:00, confidence not recorded.
  - readme: https://github.com/DataExpert-io/llm-driven-data-engineering (fetched 2026-08-28T04:03:47.957596+00:00, sha d0fee1e840f5)
- Data as of 2026-08-30T08:39:29.467469+00:00.