transformers vs vectordb-recipes
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| transformers | vectordb-recipes | |
|---|---|---|
| Tagline | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models | Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs |
| Stars | 162k | 966 |
| Forks | 34k | 172 |
| Open issues | 2.5k | 4 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Apr 24, 2026 |
| Categories | Model Training, Data & Retrieval, LLM Frameworks | Inference & Serving, Vector Databases, AI Agents, Evaluation & Observability, Model Training, Data & Retrieval, LLM Frameworks |
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python
vectordb-recipes
This repository includes resources such as examples, applications, starter code, and tutorials to aid in the development of General AI (GenAI) projects. It highlights GenAI applications built on LanceDB, an open-source serverless vector database that allows seamless integration with Python’s data ecosystem.
Jupyter Notebook