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title: Tutorials
weight: 10
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aliases:
  - how-to
  - tutorials
partition: qdrant
---

# Tutorials 

These tutorials demonstrate different ways you can build vector search into your applications. 

| Essential How-Tos                                                                      | Description                                                       | Stack                                       |   
|---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------|
| [Semantic Search for Beginners](/documentation/tutorials/search-beginners/)                 | Create a simple search engine locally in minutes.                 | Qdrant                                      | 
| [Simple Neural Search](/documentation/tutorials/neural-search/)                             | Build and deploy a neural search that browses startup data.       | Qdrant, BERT, FastAPI                       | 
| [Neural Search with FastEmbed](/documentation/tutorials/neural-search-fastembed/)                                 | Build and deploy a neural search with our FastEmbed library.               | Qdrant                                      | 
| [Multimodal Search](/documentation/tutorials/multimodal-search-fastembed/)                                | Create a simple multimodal search.                                      | Qdrant                                      |  
| [Bulk Upload Vectors](/documentation/tutorials/bulk-upload/)                                | Upload a large scale dataset.                                     | Qdrant                                      | 
| [Asynchronous API](/documentation/tutorials/async-api/)                                     | Communicate with Qdrant server asynchronously with Python SDK.    | Qdrant, Python                              |
| [Create Dataset Snapshots](/documentation/tutorials/create-snapshot/)                       | Turn a dataset into a snapshot by exporting it from a collection. | Qdrant                                      | 
| [Load HuggingFace Dataset](/documentation/tutorials/huggingface-datasets/)                      | Load a Hugging Face dataset to Qdrant                             | Qdrant, Python, datasets                    |
| [Measure Retrieval Quality](/documentation/tutorials/retrieval-quality/)                    | Measure and fine-tune the retrieval quality                       | Qdrant, Python, datasets                    |
| [Search Through Code](/documentation/tutorials/code-search/)      | Implement semantic search application for code search tasks        | Qdrant, Python, sentence-transformers, Jina |
| [Setup Collaborative Filtering](/documentation/tutorials/collaborative-filtering/)      | Implement a collaborative filtering system for recommendation engines        | Qdrant|