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changed page/section render and moved migration.md
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@@ -13,7 +13,6 @@ partition: qdrant
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| Tutorial | Objective | Stack | Time | Level |
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| :--- | :--- | :--- | :--- | :--- |
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| [Embedding Migration](/documentation/tutorials-ecosystem/migration/) | Move dense and sparse embeddings to Qdrant. | CLI | 30m | Intermediate |
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| [S3 Ingestion with LangChain](/documentation/data-ingestion-beginners/) | Stream data from AWS S3 to vector store. | LangChain | 30m | Beginner |
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| [Hugging Face Datasets](/documentation/tutorials-ecosystem/huggingface-datasets/) | Load and search public ML datasets. | Python | 15m | Beginner |
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| [Databricks Integration](/documentation/send-data/databricks/) | Vectorize datasets using FastEmbed on Databricks. | Databricks | 30m | Intermediate |
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@@ -13,6 +13,7 @@ partition: qdrant
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| Tutorial | Objective | Stack | Time | Level |
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| :--- | :--- | :--- | :--- | :--- |
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| [Embedding Migration](/documentation/tutorials-operations/migration/) | Move dense and sparse embeddings to Qdrant. | CLI | 30m | Intermediate |
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| [Bulk Data Uploads](/documentation/tutorials-operations/bulk-upload/) | High-scale ingestion tricks for power users. | Python | 20m | Intermediate |
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| [Snapshot & Backup](/documentation/tutorials-operations/create-snapshot/) | Create and restore collection snapshots. | Python | 20m | Beginner |
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| [Billion-Scale Search](/documentation/tutorials-operations/large-scale-search/) | Cost-efficient search for LAION-400M datasets. | None | 2 days | Advanced |
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@@ -1,7 +1,6 @@
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---
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title: Overview
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weight: 16
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is_empty: false
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aliases:
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- how-to
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- tutorials
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@@ -56,7 +55,6 @@ partition: qdrant
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| Tutorial | Objective | Stack | Time | Level |
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| :--- | :--- | :--- | :--- | :--- |
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| [Embedding Migration](/documentation/tutorials-ecosystem/migration/) | Move dense and sparse embeddings to Qdrant. | CLI | 30m | Intermediate |
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| [S3 Ingestion with LangChain](/documentation/data-ingestion-beginners/) | Stream data from AWS S3 to vector store. | LangChain | 30m | Beginner |
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| [Hugging Face Datasets](/documentation/tutorials-ecosystem/huggingface-datasets/) | Load and search public ML datasets. | Python | 15m | Beginner |
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| [Databricks Integration](/documentation/send-data/databricks/) | Vectorize datasets using FastEmbed on Databricks. | Databricks | 30m | Intermediate |
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@@ -71,6 +69,7 @@ partition: qdrant
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| Tutorial | Objective | Stack | Time | Level |
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| :--- | :--- | :--- | :--- | :--- |
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| [Embedding Migration](/documentation/tutorials-operations/migration/) | Move dense and sparse embeddings to Qdrant. | CLI | 30m | Intermediate |
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| [Bulk Data Uploads](/documentation/tutorials-operations/bulk-upload/) | High-scale ingestion tricks for power users. | Python | 20m | Intermediate |
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| [Snapshot & Backup](/documentation/tutorials-operations/create-snapshot/) | Create and restore collection snapshots. | Python | 20m | Beginner |
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| [Billion-Scale Search](/documentation/tutorials-operations/large-scale-search/) | Cost-efficient search for LAION-400M datasets. | None | 2 days | Advanced |
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