From 3957e665d02b7c0e4743c6a7d2854369cce587aa Mon Sep 17 00:00:00 2001 From: kanungle Date: Tue, 23 Dec 2025 13:36:33 -0800 Subject: [PATCH] changed page/section render and moved migration.md --- .../content/documentation/tutorials-ecosystem/_index.md | 1 - .../content/documentation/tutorials-operations/_index.md | 1 + .../{tutorials-ecosystem => tutorials-operations}/migration.md | 0 .../{tutorials-overview/_index.md => tutorials-overview.md} | 3 +-- 4 files changed, 2 insertions(+), 3 deletions(-) rename qdrant-landing/content/documentation/{tutorials-ecosystem => tutorials-operations}/migration.md (100%) rename qdrant-landing/content/documentation/{tutorials-overview/_index.md => tutorials-overview.md} (97%) diff --git a/qdrant-landing/content/documentation/tutorials-ecosystem/_index.md b/qdrant-landing/content/documentation/tutorials-ecosystem/_index.md index 31731ca43..a6953ffc9 100644 --- a/qdrant-landing/content/documentation/tutorials-ecosystem/_index.md +++ b/qdrant-landing/content/documentation/tutorials-ecosystem/_index.md @@ -13,7 +13,6 @@ partition: qdrant | Tutorial | Objective | Stack | Time | Level | | :--- | :--- | :--- | :--- | :--- | -| [Embedding Migration](/documentation/tutorials-ecosystem/migration/) | Move dense and sparse embeddings to Qdrant. | CLI | 30m | Intermediate | | [S3 Ingestion with LangChain](/documentation/data-ingestion-beginners/) | Stream data from AWS S3 to vector store. | LangChain | 30m | Beginner | | [Hugging Face Datasets](/documentation/tutorials-ecosystem/huggingface-datasets/) | Load and search public ML datasets. | Python | 15m | Beginner | | [Databricks Integration](/documentation/send-data/databricks/) | Vectorize datasets using FastEmbed on Databricks. | Databricks | 30m | Intermediate | diff --git a/qdrant-landing/content/documentation/tutorials-operations/_index.md b/qdrant-landing/content/documentation/tutorials-operations/_index.md index dcf985e09..68bba5493 100644 --- a/qdrant-landing/content/documentation/tutorials-operations/_index.md +++ b/qdrant-landing/content/documentation/tutorials-operations/_index.md @@ -13,6 +13,7 @@ partition: qdrant | Tutorial | Objective | Stack | Time | Level | | :--- | :--- | :--- | :--- | :--- | +| [Embedding Migration](/documentation/tutorials-operations/migration/) | Move dense and sparse embeddings to Qdrant. | CLI | 30m | Intermediate | | [Bulk Data Uploads](/documentation/tutorials-operations/bulk-upload/) | High-scale ingestion tricks for power users. | Python | 20m | Intermediate | | [Snapshot & Backup](/documentation/tutorials-operations/create-snapshot/) | Create and restore collection snapshots. | Python | 20m | Beginner | | [Billion-Scale Search](/documentation/tutorials-operations/large-scale-search/) | Cost-efficient search for LAION-400M datasets. | None | 2 days | Advanced | diff --git a/qdrant-landing/content/documentation/tutorials-ecosystem/migration.md b/qdrant-landing/content/documentation/tutorials-operations/migration.md similarity index 100% rename from qdrant-landing/content/documentation/tutorials-ecosystem/migration.md rename to qdrant-landing/content/documentation/tutorials-operations/migration.md diff --git a/qdrant-landing/content/documentation/tutorials-overview/_index.md b/qdrant-landing/content/documentation/tutorials-overview.md similarity index 97% rename from qdrant-landing/content/documentation/tutorials-overview/_index.md rename to qdrant-landing/content/documentation/tutorials-overview.md index 7b844b266..866eb5443 100644 --- a/qdrant-landing/content/documentation/tutorials-overview/_index.md +++ b/qdrant-landing/content/documentation/tutorials-overview.md @@ -1,7 +1,6 @@ --- title: Overview weight: 16 -is_empty: false aliases: - how-to - tutorials @@ -56,7 +55,6 @@ partition: qdrant | Tutorial | Objective | Stack | Time | Level | | :--- | :--- | :--- | :--- | :--- | -| [Embedding Migration](/documentation/tutorials-ecosystem/migration/) | Move dense and sparse embeddings to Qdrant. | CLI | 30m | Intermediate | | [S3 Ingestion with LangChain](/documentation/data-ingestion-beginners/) | Stream data from AWS S3 to vector store. | LangChain | 30m | Beginner | | [Hugging Face Datasets](/documentation/tutorials-ecosystem/huggingface-datasets/) | Load and search public ML datasets. | Python | 15m | Beginner | | [Databricks Integration](/documentation/send-data/databricks/) | Vectorize datasets using FastEmbed on Databricks. | Databricks | 30m | Intermediate | @@ -71,6 +69,7 @@ partition: qdrant | Tutorial | Objective | Stack | Time | Level | | :--- | :--- | :--- | :--- | :--- | +| [Embedding Migration](/documentation/tutorials-operations/migration/) | Move dense and sparse embeddings to Qdrant. | CLI | 30m | Intermediate | | [Bulk Data Uploads](/documentation/tutorials-operations/bulk-upload/) | High-scale ingestion tricks for power users. | Python | 20m | Intermediate | | [Snapshot & Backup](/documentation/tutorials-operations/create-snapshot/) | Create and restore collection snapshots. | Python | 20m | Beginner | | [Billion-Scale Search](/documentation/tutorials-operations/large-scale-search/) | Cost-efficient search for LAION-400M datasets. | None | 2 days | Advanced |