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full tutorial in markdown

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Evgeniya Sukhodolskaya
2024-08-22 20:28:39 +02:00
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qdrant-landing/content/documentation/tutorials/_index.md
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@@ -16,7 +16,8 @@ These tutorials demonstrate different ways you can build vector search into your
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| [Semantic Search for Beginners](../tutorials/search-beginners/) | Create a simple search engine locally in minutes. | Qdrant |
| [Simple Neural Search](../tutorials/neural-search/) | Build and deploy a neural search that browses startup data. | Qdrant, BERT, FastAPI |
| [Neural Search with FastEmbed](../tutorials/neural-search-fastembed/) | Build and deploy a neural search with our FastEmbed library. | Qdrant |
| [Neural Search with FastEmbed](../tutorials/neural-search-fastembed/) | Build and deploy a neural search with our FastEmbed library. | Qdrant |
| [Multimodal Search](../tutorials/multimodal-search-fastembed/) | Create a simple multimodal search. | Qdrant |
| [Bulk Upload Vectors](../tutorials/bulk-upload/) | Upload a large scale dataset. | Qdrant |
| [Asynchronous API](../tutorials/async-api/) | Communicate with Qdrant server asynchronously with Python SDK. | Qdrant, Python |
| [Create Dataset Snapshots](../tutorials/create-snapshot/) | Turn a dataset into a snapshot by exporting it from a collection. | Qdrant |