fix: Internal link checker, Use abs links (#1220)

* fix: links in hybrid-queries.md

* refactor: Use abs links

* fix: Check internal links

* ci: Rename job

qdrant-landing/content/documentation/faq/database-optimization.md

@@ -9,18 +9,18 @@ weight: 2
 
 The primary source of memory usage is vector data. There are several ways to address that:
 
-- Configure [Quantization](../../guides/quantization/) to reduce the memory usage of vectors.
+- Configure [Quantization](/documentation/guides/quantization/) to reduce the memory usage of vectors.
 - Configure on-disk vector storage
 
 The choice of the approach depends on your requirements.
-Read more about [configuring the optimal](../../tutorials/optimize/) use of Qdrant.
+Read more about [configuring the optimal](/documentation/tutorials/optimize/) use of Qdrant.
 
 ### How do you choose the machine configuration?
 
 There are two main scenarios of Qdrant usage in terms of resource consumption:
 
 - **Performance-optimized** -- when you need to serve vector search as fast (many) as possible. In this case, you need to have as much vector data in RAM as possible. Use our [calculator](https://cloud.qdrant.io/calculator) to estimate the required RAM.
-- **Storage-optimized** -- when you need to store many vectors and minimize costs by compromising some search speed. In this case, pay attention to the disk speed instead. More about it in the article about [Memory Consumption](../../../articles/memory-consumption/).
+- **Storage-optimized** -- when you need to store many vectors and minimize costs by compromising some search speed. In this case, pay attention to the disk speed instead. More about it in the article about [Memory Consumption](/articles/memory-consumption/).
 
 ### I configured on-disk vector storage, but memory usage is still high. Why?
 
@@ -38,6 +38,6 @@ If you want to limit the memory usage of the service, we recommend using [limits
 
 There are several possible reasons for that:
 
-- **Using filters without payload index** -- If you're performing a search with a filter but you don't have a payload index, Qdrant will have to load whole payload data from disk to check the filtering condition. Ensure you have adequately configured [payload indexes](../../concepts/indexing/#payload-index).
-- **Usage of on-disk vector storage with slow disks** -- If you're using on-disk vector storage, ensure you have fast enough disks. We recommend using local SSDs with at least 50k IOPS. Read more about the influence of the disk speed on the search latency in the article about [Memory Consumption](../../../articles/memory-consumption/).
+- **Using filters without payload index** -- If you're performing a search with a filter but you don't have a payload index, Qdrant will have to load whole payload data from disk to check the filtering condition. Ensure you have adequately configured [payload indexes](/documentation/concepts/indexing/#payload-index).
+- **Usage of on-disk vector storage with slow disks** -- If you're using on-disk vector storage, ensure you have fast enough disks. We recommend using local SSDs with at least 50k IOPS. Read more about the influence of the disk speed on the search latency in the article about [Memory Consumption](/articles/memory-consumption/).
 - **Large limit or non-optimal query parameters** -- A large limit or offset might lead to significant performance degradation. Please pay close attention to the query/collection parameters that significantly diverge from the defaults. They might be the reason for the performance issues.

qdrant-landing/content/documentation/faq/qdrant-fundamentals.md

@@ -53,7 +53,7 @@ If you're still seeing `"vector": null` in your results, it might be that the ve
 
 ### How can I search without a vector?
 
-You are likely looking for the [scroll](../../concepts/points/#scroll-points) method. It allows you to retrieve the records based on filters or even iterate over all the records in the collection.
+You are likely looking for the [scroll](/documentation/concepts/points/#scroll-points) method. It allows you to retrieve the records based on filters or even iterate over all the records in the collection.
 
 ### Does Qdrant support a full-text search or a hybrid search?
 
@@ -64,10 +64,10 @@ What Qdrant can do:
 
 - Search with full-text filters
 - Apply full-text filters to the vector search (i.e., perform vector search among the records with specific words or phrases)
-- Do prefix search and semantic [search-as-you-type](../../../articles/search-as-you-type/)
+- Do prefix search and semantic [search-as-you-type](/articles/search-as-you-type/)
 - Sparse vectors, as used in [SPLADE](https://github.com/naver/splade) or similar models
-- [Multi-vectors](../../concepts/vectors/#multivectors), for example ColBERT and other late-interaction models
-- Combination of the [multiple searches](../../concepts/hybrid-queries/)
+- [Multi-vectors](/documentation/concepts/vectors/#multivectors), for example ColBERT and other late-interaction models
+- Combination of the [multiple searches](/documentation/concepts/hybrid-queries/)
 
 What Qdrant doesn't plan to support:
 
@@ -76,7 +76,7 @@ What Qdrant doesn't plan to support:
 - Query analyzers and other NLP tools
 
 Of course, you can always combine Qdrant with any specialized tool you need, including full-text search engines.
-Read more about [our approach](../../../articles/hybrid-search/) to hybrid search.
+Read more about [our approach](/articles/hybrid-search/) to hybrid search.
 
 ## Collections
 
@@ -87,11 +87,11 @@ It is _highly_ recommended not to create many small collections, as it will lead
 
 We consider creating a collection for each user/dialog/document as an antipattern.
 
-Please read more about collections, isolation, and multiple users in our [Multitenancy](../../tutorials/multiple-partitions/) tutorial.
+Please read more about collections, isolation, and multiple users in our [Multitenancy](/documentation/tutorials/multiple-partitions/) tutorial.
 
 ### How do I upload a large number of vectors into a Qdrant collection?
 
-Read about our recommendations in the [bulk upload](../../tutorials/bulk-upload/) tutorial.
+Read about our recommendations in the [bulk upload](/documentation/tutorials/bulk-upload/) tutorial.
 
 ### Can I only store quantized vectors and discard full precision vectors?