rago 0.9.0

Rago is a lightweight framework for RAG

Rago

Rago is a lightweight framework for RAG.

• Software License: BSD 3 Clause
• Documentation: https://osl-incubator.github.io/rago

Features

• Support for Hugging Face
• Support for llama

Installation

If you want to install it for cpu only, you can run:

$ pip install rago[cpu]

But, if you want to install it for gpu (cuda), you can run:

$ pip install rago[gpu]

Setup

Llama 3

In order to use a llama model, visit its page on huggingface and request your access in its form, for example: https://huggingface.co/meta-llama/Llama-3.2-1B.

After you are granted access to the desired model, you will be able to use it with Rago.

you will also need to provide a hugging face token in order to download the models locally, for example:

rag = Rago(
    retrieval=StringRet(animals_data),
    augmented=SentenceTransformerAug(top_k=3),
    generation=LlamaGen(apikey=HF_TOKEN),
)
rag.prompt('Is there any animals larger than a dinosaur?')