EdoardoBotta/RQ-VAE-Recommender
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
- Stars
- 850
- Forks
- 128
- Open issues
- 41
- Last push
- 1mo ago
About RQ-VAE-Recommender
RQ-VAE-Recommender is a free, open-source RAG and AI search tool by EdoardoBotta, written mainly in Python. [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval". It has 850 GitHub stars and 128 forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Language
- Python
- Stars
- 850
- Last update
- 1mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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RQ-VAE-Recommender FAQ
Is RQ-VAE-Recommender free?
Yes. RQ-VAE-Recommender is open source and free to use. It's released under the MIT license, a standard open-source license.
Does RQ-VAE-Recommender run on a Mac?
Yes. According to the project, RQ-VAE-Recommender works on macOS.
Does RQ-VAE-Recommender need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is RQ-VAE-Recommender still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to RQ-VAE-Recommender?
Similar free, open-source tools include ragflow, PageIndex, onyx, semantica.