Merge pull request #276 from davidberenstein1957/add-vector-search-with-hub-as-backend

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

Author: stevhliu

notebooks/en/_toctree.yml

@@ -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:
@@ -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

notebooks/en/index.md

@@ -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).