diff --git a/notebooks/en/index.md b/notebooks/en/index.md
index 4b2dae65..b22cc465 100644
--- a/notebooks/en/index.md
+++ b/notebooks/en/index.md
@@ -10,20 +10,6 @@ Check out the recently added notebooks:
 - [Using LLM-as-a-judge 🧑‍⚖️ for an automated and versatile evaluation](llm_judge)
 - [Create a legal preference dataset](pipeline_notus_instructions_preferences_legal)
 - [Suggestions for Data Annotation with SetFit in Zero-shot Text Classification](labelling_feedback_setfit)
-- [Implementing semantic cache to improve a RAG system](semantic_cache_chroma_vector_database)
-- [Building A RAG Ebook "Librarian" Using LlamaIndex](rag_llamaindex_librarian)
-- [Stable Diffusion Interpolation](stable_diffusion_interpolation)
-- [Building A RAG System with Gemma, MongoDB and Open Source Models](rag_with_hugging_face_gemma_mongodb)
-- [Prompt Tuning with PEFT Library](prompt_tuning_peft)
-- [Migrating from OpenAI to Open LLMs Using TGI's Messages API](tgi_messages_api_demo)
-- [Automatic Embeddings with TEI through Inference Endpoints](automatic_embedding_tei_inference_endpoints)
-- [Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain](rag_zephyr_langchain)
-- [Embedding multimodal data for similarity search using 🤗 transformers, 🤗 datasets and FAISS](faiss_with_hf_datasets_and_clip)
-- [Fine-tuning a Code LLM on Custom Code on a single GPU](fine_tuning_code_llm_on_single_gpu)
-- [RAG Evaluation Using Synthetic data and LLM-As-A-Judge](rag_evaluation)
-- [Advanced RAG on HuggingFace documentation using LangChain](advanced_rag)
-- [Detecting Issues in a Text Dataset with Cleanlab](issues_in_text_dataset)
-- [Annotate text data using Active Learning with Cleanlab](annotate_text_data_transformers_via_active_learning)
 
 You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).