Merge pull request #1320 from vespa-engine/kkraune/link

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vespa-engine · Oct 11, 2023 · 7cb60c1 · 7cb60c1
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diff --git a/billion-scale-image-search/README.md b/billion-scale-image-search/README.md
@@ -106,7 +106,7 @@ for playing around with the app on a laptop.
 **Requirements:**
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 6GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/billion-scale-vector-search/README.md b/billion-scale-vector-search/README.md
@@ -22,7 +22,7 @@ for reproducing on a laptop.
 **Requirements:**
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 6GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/commerce-product-ranking/README.md b/commerce-product-ranking/README.md
@@ -39,7 +39,7 @@ The dataset is released under the [Apache 2.0 license](https://github.com/amazon
 The following is a quick start recipe on how to get started with this application. 
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 6 GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/custom-embeddings/README.md b/custom-embeddings/README.md
@@ -16,7 +16,7 @@ Read the [blog post](https://blog.vespa.ai/).
 The following is a quick start recipe on how to get started with this application:
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 4 GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/dense-passage-retrieval-with-ann/README.md b/dense-passage-retrieval-with-ann/README.md
@@ -36,7 +36,7 @@ recreate the results in the DPR paper, see the [next section](#how-to-feed-the-e
 
 Requirements:
 * [Docker](https://www.docker.com/) Desktop installed and running. 6GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)
@@ -146,7 +146,7 @@ $ docker rm -f vespa
 ## How to feed the entire dataset
 
 To run the full dataset, minimum **128GB** system memory for the content node is recommended.
-Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
 for details and troubleshooting:
 
 Since the DPR repo depends on a different version of transformers library,

diff --git a/examples/document-processing/README.md b/examples/document-processing/README.md
@@ -30,7 +30,7 @@ Flow:
 
 ### Validate the environment:
 Make sure you see at minimum 4 GB.
-Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
 for details and troubleshooting:
 <pre>
 $ docker info | grep "Total Memory"

diff --git a/examples/generic-request-processing/README.md b/examples/generic-request-processing/README.md
@@ -16,7 +16,7 @@ Refer to [getting started](https://docs.vespa.ai/en/getting-started.html) for mo
 
 **Validate environment, should be minimum 4G:**
 
-Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
 for details and troubleshooting:
 <pre>
 $ docker info | grep "Total Memory"

diff --git a/examples/http-api-using-request-handlers-and-processors/README.md b/examples/http-api-using-request-handlers-and-processors/README.md
@@ -14,7 +14,7 @@ for more information.
 
 **Validate environment, should be minimum 4G:**
 
-Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
 for details and troubleshooting:
 <pre>
 $ docker info | grep "Total Memory"

diff --git a/examples/multiple-bundles/README.md b/examples/multiple-bundles/README.md
@@ -19,7 +19,7 @@ Docker requirements same as in the [quick-start](https://docs.vespa.ai/en/vespa-
 
 **Validate environment, must be minimum 4G:**
 
-Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
 for details and troubleshooting:
 <pre>
 $ docker info | grep "Total Memory"

diff --git a/examples/operations/basic-search-on-gke/README.md b/examples/operations/basic-search-on-gke/README.md
@@ -10,7 +10,7 @@ Please refer to
 for more information on the basic single container example.
 Also see [Vespa quick start using Kubernetes](https://docs.vespa.ai/en/vespa-quick-start-kubernetes.html).
 Containers running Vespa should have minimum 4 GB memory available.
-Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
 for details and troubleshooting.
 
 See [multinode-HA/gke](../multinode-HA/gke) for a more detailed Kubernetes example.

diff --git a/examples/part-purchases-demo/README.md b/examples/part-purchases-demo/README.md
@@ -10,7 +10,7 @@ A sample Vespa application to assist with learning how to group according to the
 **Requirements:**
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 4GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)
 * Architecture: x86_64 or arm64
@@ -23,7 +23,7 @@ A sample Vespa application to assist with learning how to group according to the
 $ docker info | grep "Total Memory"
 </pre>
 
-Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
 for details and troubleshooting:
 
 

diff --git a/examples/predicate-fields/README.md b/examples/predicate-fields/README.md
@@ -50,7 +50,7 @@ using marketplace business metrics like cost-per-click (CPC) and user
 Requirements:
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 6 GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/incremental-search/search-as-you-type/README.md b/incremental-search/search-as-you-type/README.md
@@ -10,7 +10,7 @@ Uses N-grams to simulate substring search.
 ## Quick Start 
 Requirements:
 * [Docker](https://www.docker.com/) Desktop installed and running. 4GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/incremental-search/search-suggestions/README.md b/incremental-search/search-suggestions/README.md
@@ -57,7 +57,7 @@ which is usually what one wants for short prefix lengths.
 ## Quick start
 Requirements:
 * [Docker](https://www.docker.com/) Desktop installed and running. 4GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/model-inference/README.md b/model-inference/README.md
@@ -27,7 +27,7 @@ various ways stateless model evaluation can be used in Vespa:
 
 Requirements:
 * [Docker](https://www.docker.com/) Desktop installed and running. 6GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/multi-vector-indexing/README.md b/multi-vector-indexing/README.md
@@ -19,7 +19,7 @@ vector space.
 The following is a quick start recipe on how to get started with this application. 
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 4 GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/multilingual-search/README.md b/multilingual-search/README.md
@@ -14,7 +14,7 @@ Read the [blog post](https://blog.vespa.ai/simplify-search-with-multilingual-emb
 The following is a quick start recipe on how to get started with this application. 
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 4 GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/semantic-qa-retrieval/README.md b/semantic-qa-retrieval/README.md
@@ -50,7 +50,7 @@ One can explore the questions and the labeled answers [here](https://rajpurkar.g
 * git client to check out the sample application repository
 * Operating system: macOS or Linux, Architecture: x86_64 or arm64 
 * Minimum 6 GB memory dedicated to Docker (the default is 2 GB on Macs).
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting.
 
 See also [Vespa quick start guide](https://docs.vespa.ai/en/vespa-quick-start.html).

diff --git a/text-image-search/README.md b/text-image-search/README.md
@@ -46,7 +46,7 @@ tokenization and transformer model evaluation.
 ## Quick start 
 Requirements:
 * [Docker](https://www.docker.com/) Desktop installed and running. 6GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/text-search/README.md b/text-search/README.md
@@ -17,7 +17,7 @@ The following is for deploying the end to end application including a custom fro
 ## Prerequisites
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 10GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)
 * Architecture: x86_64 or arm64 

diff --git a/transformers/README.md b/transformers/README.md
@@ -22,7 +22,7 @@ Vespa stateless container.
 ## Requirements:
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 4GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/use-case-shopping/README.md b/use-case-shopping/README.md
@@ -16,7 +16,7 @@ but you can download other data from the site above and use the scripts to conve
 
 Requirements:
 * [Docker](https://www.docker.com/) Desktop installed and running. 4 GB available memory for Docker is minimum.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)

diff --git a/vector-streaming-search/README.md b/vector-streaming-search/README.md
@@ -19,7 +19,7 @@ using a [Bert embedder](https://docs.vespa.ai/en/reference/embedding-reference.h
 The following is a quick start recipe on how to get started with this application. 
 
 * [Docker](https://www.docker.com/) Desktop installed and running. 4 GB available memory for Docker is recommended.
-  Refer to [Docker memory](https://docs.vespa.ai/en/operations/docker-containers.html#memory)
+  Refer to [Docker memory](https://docs.vespa.ai/en/operations-selfhosted/docker-containers.html#memory)
   for details and troubleshooting
 * Alternatively, deploy using [Vespa Cloud](#deployment-note)
 * Operating system: Linux, macOS or Windows 10 Pro (Docker requirement)