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davidmyriel
2024-11-14 17:34:24 -08:00
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qdrant-landing/content/documentation/advanced-tutorials/_index.md
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@@ -15,6 +15,6 @@ These tutorials demonstrate different ways you can build vector search into your
| Essential How-Tos | Description | Stack |
|---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------|
| [Collaborative Ffiltering](/documentation/tutorials/collaborative-filtering/) | Set up a recommendation engine purely with vector search | Qdrant |
| [Multimodal Search](/documentation/tutorials/multimodal-search-fastembed/) | Create a simple multimodal search engine. | Qdrant |
| [Search Through Code](/documentation/tutorials/code-search/) | Implement semantic search application for code search tasks | Qdrant, Python, sentence-transformers, Jina |
| [Collaborative Filtering](collaborative-filtering/) | Set up a recommendation engine purely with vector search | Qdrant |
| [Multimodal Search](multimodal-search-fastembed/) | Create a simple multimodal search engine. | Qdrant |
| [Search Through Code](code-search/) | Implement semantic search application for code search tasks | Qdrant, Python, sentence-transformers, Jina |
qdrant-landing/content/documentation/beginner-tutorials/_index.md
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@@ -15,8 +15,8 @@ These tutorials demonstrate different ways you can build vector search into your
| 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 |
| [Measure Retrieval Quality](/documentation/tutorials/retrieval-quality/) | Measure and fine-tune the retrieval quality | Qdrant, Python, datasets |
| [Semantic Search for Beginners](search-beginners/) | Create a simple search engine locally in minutes. | Qdrant |
| [Simple Neural Search](neural-search/) | Build and deploy a neural search that browses startup data. | Qdrant, BERT, FastAPI |
| [Neural Search with FastEmbed](neural-search-fastembed/) | Build and deploy a neural search with our FastEmbed library. | Qdrant |
| [Measure Retrieval Quality](retrieval-quality/) | Measure and fine-tune the retrieval quality | Qdrant, Python, datasets |
qdrant-landing/content/documentation/database-tutorials/_index.md
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@@ -15,8 +15,8 @@ These tutorials demonstrate different ways you can build vector search into your
| Essential How-Tos | Description | Stack |
|---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------|
| [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 |
| [Bulk Upload Vectors](bulk-upload/) | Upload a large scale dataset. | Qdrant |
| [Asynchronous API](async-api/) | Communicate with Qdrant server asynchronously with Python SDK. | Qdrant, Python |
| [Create Dataset Snapshots](create-snapshot/) | Turn a dataset into a snapshot by exporting it from a collection. | Qdrant |
| [Load HuggingFace Dataset](huggingface-datasets/) | Load a Hugging Face dataset to Qdrant | Qdrant, Python, datasets |