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docs: Add "Vector Search on Hugging Face with the Hub as Backend" #276

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4 changes: 3 additions & 1 deletion notebooks/en/_toctree.yml
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@
title: Phoenix Observability Dashboard on HF Spaces
- local: search_and_learn
title: Scaling Test-Time Compute for Longer Thinking in LLMs

- title: Computer Vision Recipes
isExpanded: false
sections:
Expand Down Expand Up @@ -114,6 +114,8 @@
sections:
- local: semantic_reranking_elasticsearch
title: Semantic Reranking with Elasticsearch
- local: vector_search_with_hub_as_backend
title: Vector Search on Hugging Face with the Hub as Backend

- title: Agents Recipes
isExpanded: false
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3 changes: 1 addition & 2 deletions notebooks/en/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,12 +7,11 @@ applications and solving various machine learning tasks using open-source tools

Check out the recently added notebooks:

- [Vector Search on Hugging Face with the Hub as Backend](vector_search_with_hub_as_backend)
- [Multi-Agent Order Management System with MongoDB](mongodb_smolagents_multi_micro_agents)
- [Scaling Test-Time Compute for Longer Thinking in LLMs](search_and_learn)
- [Signature-Aware Model Serving from MLflow with Ray Serve](mlflow_ray_serve)
- [Fine-tuning SmolVLM using direct preference optimization (DPO) with TRL on a consumer GPU](fine_tuning_vlm_dpo_smolvlm_instruct)
- [Smol Multimodal RAG: Building with ColSmolVLM and SmolVLM on Colab's Free-Tier GPU](multimodal_rag_using_document_retrieval_and_smol_vlm)


You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).

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