From 2a9e1f997387f11246681f179f8ee9f19fad385e Mon Sep 17 00:00:00 2001 From: davidmyriel Date: Mon, 18 Nov 2024 14:46:50 -0800 Subject: [PATCH] fix indexes --- .../documentation/advanced-tutorials/_index.md | 12 +++++------- .../documentation/beginner-tutorials/_index.md | 15 ++++++--------- .../documentation/database-tutorials/_index.md | 12 ++++++------ 3 files changed, 17 insertions(+), 22 deletions(-) diff --git a/qdrant-landing/content/documentation/advanced-tutorials/_index.md b/qdrant-landing/content/documentation/advanced-tutorials/_index.md index 6f2e8b49e..b12276dc3 100644 --- a/qdrant-landing/content/documentation/advanced-tutorials/_index.md +++ b/qdrant-landing/content/documentation/advanced-tutorials/_index.md @@ -11,10 +11,8 @@ partition: qdrant # Advanced Tutorials -These tutorials demonstrate different ways you can build vector search into your applications. - -| Essential How-Tos | Description | Stack | -|---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------| -| [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 | +| Tutorial | Description | +|----------------------------------------------------------|--------------------------------------------------------------------| +| [Collaborative Filtering](/documentation/advanced-tutorials/collaborative-filtering/) | Set up a recommendation engine purely with vector search. | +| [Multimodal Search](/documentation/advanced-tutorials/multimodal-search-fastembed/) | Create a simple multimodal search engine. | +| [Search Through Code](/documentation/advanced-tutorials/code-search/) | Implement semantic search application for code search tasks. | \ No newline at end of file diff --git a/qdrant-landing/content/documentation/beginner-tutorials/_index.md b/qdrant-landing/content/documentation/beginner-tutorials/_index.md index 79e2f63fd..d5f617c99 100644 --- a/qdrant-landing/content/documentation/beginner-tutorials/_index.md +++ b/qdrant-landing/content/documentation/beginner-tutorials/_index.md @@ -13,12 +13,9 @@ partition: qdrant # Beginner Tutorials -These tutorials demonstrate different ways you can build vector search into your applications. - -| Essential How-Tos | Description | Stack | -|---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------| -| [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 | - +| Tutorial | Description | +|----------------------------------------------------|---------------------------------------------------------| +| [Semantic Search for Beginners](/documentation/beginner-tutorials/search-beginners/) | Create a simple search engine locally in minutes. | +| [Simple Neural Search](/documentation/beginner-tutorials/neural-search/) | Build and deploy a neural search that browses startup data. | +| [Hybrid Search with FastEmbed](/documentation/beginner-tutorials/hybrid-search-fastembed/) | Build and deploy a hybrid search with our FastEmbed library. | +| [Measure Retrieval Quality](/documentation/beginner-tutorials/retrieval-quality/) | Measure and fine-tune the retrieval quality | diff --git a/qdrant-landing/content/documentation/database-tutorials/_index.md b/qdrant-landing/content/documentation/database-tutorials/_index.md index 8d8e5f1c5..e1d6a6d9a 100644 --- a/qdrant-landing/content/documentation/database-tutorials/_index.md +++ b/qdrant-landing/content/documentation/database-tutorials/_index.md @@ -11,9 +11,9 @@ partition: qdrant # Database Tutorials -| Tutorial | Description | Stack | -|--------------------------------------------|----------------------------------------------------------------|-----------------------| -| [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 | \ No newline at end of file +| Tutorial | Description | +|--------------------------------------------|----------------------------------------------------------------| +| [Bulk Upload Vectors](/documentation/database-tutorials/bulk-upload/) | Upload a large scale dataset. | +| [Asynchronous API](/documentation/database-tutorials/async-api/) | Communicate with Qdrant server asynchronously with Python SDK. | +| [Create Dataset Snapshots](/documentation/database-tutorials/create-snapshot/) | Turn a dataset into a snapshot by exporting it from a collection. | +| [Load HuggingFace Dataset](/documentation/database-tutorials/huggingface-datasets/) | Load a Hugging Face dataset to Qdrant | \ No newline at end of file