Contribution to Hugging Face 🤗 cookbook: Utilize advanced retrieval techniques with Hugging Face LLMs for RAG

[moaaz12-web]

I would like to contribute to the Hugging Face 🤗 repository by adding a notebook on utilizing different retrieval techniques like BM25 retriever, multi-vector retriever, multi-query retriever, ensemble retriever, and merger retriever on document question answering with Hugging Face 🤗 models as the llms and embedding models.

I've extensively explored langchain's features and would love to contribute to the open source community and share my knowledge.

[moaaz12-web]

@MKhalusova would love to know how to proceed with the next steps. Should I fork the repo and open a new pull request?

[MKhalusova]

This sounds like a great addition to the cookbook! Go ahead, fork the repo, and create a pull request. Check out other merged notebooks to get an idea for the format, make sure to add your notebook to the _toctree.yml, and to the list of latest notebooks in index.md.

When done, add me as a reviewer.

[moaaz12-web]

Thanks, ill get started with this.