gordon-posit commited on
Commit
37b8fa7
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1 Parent(s): 95bc557

Use sidebar layout

Browse files
Files changed (2) hide show
  1. src/_quarto.yml +7 -5
  2. src/index.qmd +6 -6
src/_quarto.yml CHANGED
@@ -3,15 +3,17 @@ project:
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  website:
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  title: "Open-Source AI Cookbook"
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- navbar:
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- left:
 
 
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  - href: index.qmd
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- text: Open-Source AI Cookbook
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  - notebooks/automatic_embedding.ipynb
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  - notebooks/faiss.ipynb
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  - notebooks/single_gpu.ipynb
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- - text: RAG
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- menu:
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  - notebooks/rag_zephyr_langchain.ipynb
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  - notebooks/advanced_rag.ipynb
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  - notebooks/rag_evaluation.ipynb
 
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  website:
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  title: "Open-Source AI Cookbook"
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+ sidebar:
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+ style: "docked"
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+ search: true
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+ contents:
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  - href: index.qmd
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+ text: About
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  - notebooks/automatic_embedding.ipynb
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  - notebooks/faiss.ipynb
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  - notebooks/single_gpu.ipynb
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+ - section: RAG
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+ contents:
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  - notebooks/rag_zephyr_langchain.ipynb
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  - notebooks/advanced_rag.ipynb
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  - notebooks/rag_evaluation.ipynb
src/index.qmd CHANGED
@@ -15,12 +15,12 @@ You can also use Quarto to write [books](https://quarto.org/docs/books/), create
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  Check out the recently added notebooks:
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- - [Automatic Embeddings with TEI through Inference Endpoints](automatic_embedding_tei_inference_endpoints)
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- - [Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain](rag_zephyr_langchain)
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- - [Embedding multimodal data for similarity search using πŸ€— transformers, πŸ€— datasets and FAISS](faiss_with_hf_datasets_and_clip)
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- - [Fine-tuning a Code LLM on Custom Code on a single GPU](fine_tuning_code_llm_on_single_gpu)
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- - [RAG Evaluation Using Synthetic data and LLM-As-A-Judge](rag_evaluation)
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- - [Advanced RAG on HuggingFace documentation using LangChain](advanced_rag)
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  You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).
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  Check out the recently added notebooks:
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+ - [Automatic Embeddings with TEI through Inference Endpoints](notebooks/automatic_embedding.ipynb)
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+ - [Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain](notebooks/rag_zephyr_langchain.ipynb)
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+ - [Embedding multimodal data for similarity search using πŸ€— transformers, πŸ€— datasets and FAISS](notebooks/faiss.ipynb)
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+ - [Fine-tuning a Code LLM on Custom Code on a single GPU](notebooks/single_gpu.ipynb)
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+ - [RAG Evaluation Using Synthetic data and LLM-As-A-Judge](notebooks/rag_evaluation.ipynb)
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+ - [Advanced RAG on HuggingFace documentation using LangChain](notebooks/advanced_rag.ipynb)
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  You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).
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