krzysztof/landing_page
1
0
Fork 0
mirror of https://github.com/qdrant/landing_page.git synced 2026-10-04 10:28:29 +02:00
Code Issues Packages Projects Releases Wiki Activity

updated aliases and relative links

Browse Source
This commit is contained in:
kanungle
2025-12-23 13:18:14 -08:00
parent 03819a8a20
commit 7b7a2d9716
22 changed files with 80 additions and 62 deletions
Download Patch File Download Diff File Expand all files Collapse all files
qdrant-landing/content/documentation/tutorials-ecosystem/_index.md
+7 -7
View File
@@ -13,10 +13,10 @@ partition: qdrant
| Tutorial | Objective | Stack | Time | Level |
| :--- | :--- | :--- | :--- | :--- |
| [Embedding Migration](https://qdrant.tech/documentation/tutorials-ecosystem/migration/) | Move dense and sparse embeddings to Qdrant. | CLI | 30m | Intermediate |
| [S3 Ingestion with LangChain](https://qdrant.tech/documentation/data-ingestion-beginners/) | Stream data from AWS S3 to vector store. | LangChain | 30m | Beginner |
| [Hugging Face Datasets](https://qdrant.tech/documentation/tutorials-ecosystem/huggingface-datasets/) | Load and search public ML datasets. | Python | 15m | Beginner |
| [Databricks Integration](https://qdrant.tech/documentation/send-data/databricks/) | Vectorize datasets using FastEmbed on Databricks. | Databricks | 30m | Intermediate |
| [Airflow & Astronomer](https://qdrant.tech/documentation/send-data/qdrant-airflow-astronomer/) | Orchestrate data engineering workflows. | Airflow | 45m | Intermediate |
| [Kafka Data Streaming](https://qdrant.tech/documentation/send-data/data-streaming-kafka-qdrant/) | Setup Qdrant Sink Connector for real-time data. | Kafka | 60m | Advanced |
| [No-Code Automation (n8n)](https://qdrant.tech/documentation/qdrant-n8n/) | Combine Qdrant with low-code n8n workflows. | n8n | 45m | Intermediate |
| [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 |
| [Airflow & Astronomer](/documentation/send-data/qdrant-airflow-astronomer/) | Orchestrate data engineering workflows. | Airflow | 45m | Intermediate |
| [Kafka Data Streaming](/documentation/send-data/data-streaming-kafka-qdrant/) | Setup Qdrant Sink Connector for real-time data. | Kafka | 60m | Advanced |
| [No-Code Automation (n8n)](/documentation/qdrant-n8n/) | Combine Qdrant with low-code n8n workflows. | n8n | 45m | Intermediate |
qdrant-landing/content/documentation/tutorials-ecosystem/huggingface-datasets.md
+1
View File
@@ -2,6 +2,7 @@
title: Load a HuggingFace Dataset
aliases:
- /documentation/tutorials/huggingface-datasets/
- /documentation/database-tutorials/huggingface-datasets/
weight: 3
---
qdrant-landing/content/documentation/tutorials-ecosystem/migration.md
+2
View File
@@ -1,5 +1,7 @@
---
title: Migration to Qdrant
aliases:
- /documentation/database-tutorials/migration/
weight: 180
---