llm-course vs VectorHub
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| llm-course | VectorHub | |
|---|---|---|
| Tagline | Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. | VectorHub is a deprecated repository that now focuses on SIE, a self-hosted inference engine. |
| Stars | 81k | 524 |
| Forks | 9.4k | 133 |
| Open issues | 84 | 5 |
| Language | - | Jupyter Notebook |
| License | Apache-2.0 | Other |
| Last pushed | Feb 5, 2026 | Jul 6, 2026 |
| Categories | Developer Tools, LLM Frameworks | Developer Tools, Vector Databases |
llm-course
This repository features a course on LLMs, divided into foundational knowledge, scientific development of models, and engineering applications. It includes interactive Colab notebooks for practical learning and deployment of LLM technologies.
VectorHub
This repository was previously home to learning materials and tools for adding vector retrieval capabilities in ML stacks. Now it guides toward Superlinked's new product, focusing on managing embeddings, OCR, extraction, and document processing.
Jupyter Notebook