fixed dead links

Author: danciaclara

docs/.vitepress/config.mts

@@ -313,7 +313,7 @@ export default withMermaid(
                 collapsed: true,
                 items: [
                   { text: "Embedding model", link: "/self-hosting/govern/plane-ai/configure-embedding-model" },
-                  { text: "AWS OpenSearch embedding", link: "/self-hosting/govern/aws-opensearch-embedding" },
+                  { text: "AWS OpenSearch embedding", link: "/self-hosting/govern/plane-ai/aws-opensearch-embedding" },
                 ],
               },
               { text: "External secrets", link: "/self-hosting/govern/external-secrets" },

docs/self-hosting/govern/environment-variables.md

@@ -237,7 +237,7 @@ These settings are required for semantic search and Plane AI Chat. Configure one
 | **BR_AWS_SECRET_ACCESS_KEY**       | AWS secret access key for Bedrock Titan embedding                                        | Conditional |
 | **BR_AWS_REGION**                  | AWS region for Bedrock Titan embedding                                                   | Conditional |
 
-For setup instructions, supported models, and IAM permissions, see [Plane AI](/self-hosting/govern/plane-ai/getting-started).
+For setup instructions, supported models, and IAM permissions, see [Configure Plane AI](/self-hosting/govern/plane-ai/configure-plane-ai).
 
 ### API settings
 
@@ -312,7 +312,7 @@ For setup instructions, supported models, and IAM permissions, see [Plane AI](/s
 | **CUSTOM_LLM_MAX_TOKENS**               | Maximum token limit for the custom LLM.                                                                                                                                               | 128000                                |
 | **EMBEDDING_MODEL**                     | Model key for generating embeddings (e.g. `cohere/embed-v4.0`). Required for PI API startup when Plane AI is enabled.                                                                 |                                       |
 | **OPENSEARCH_ML_MODEL_ID**              | OpenSearch ML model ID for the deployed embedding model.                                                                                                                              |                                       |
-| **OPENSEARCH_EMBEDDING_DIMENSION**      | Vector dimension for `knn_vector` fields; must match the embedding model and stay aligned with the API service. See [Semantic search](/self-hosting/govern/plane-ai/semantic-search). | 1536                                  |
+| **OPENSEARCH_EMBEDDING_DIMENSION**      | Vector dimension for `knn_vector` fields; must match the embedding model and stay aligned with the API service. See [Configure embedding model](/self-hosting/govern/plane-ai/configure-embedding-model). | 1536                                  |
 | **BR_AWS_ACCESS_KEY_ID**                | AWS access key for Amazon Bedrock integration.                                                                                                                                        |                                       |
 | **BR_AWS_SECRET_ACCESS_KEY**            | AWS secret key for Amazon Bedrock integration.                                                                                                                                        |                                       |
 | **BR_AWS_SESSION_TOKEN**                | AWS session token for Amazon Bedrock integration (for temporary credentials).                                                                                                         |                                       |

…sting/govern/aws-opensearch-embedding.md …ern/plane-ai/aws-opensearch-embedding.mddocs/self-hosting/govern/aws-opensearch-embedding.md renamed to docs/self-hosting/govern/plane-ai/aws-opensearch-embedding.md docs/self-hosting/govern/aws-opensearch-embedding.md renamed to docs/self-hosting/govern/plane-ai/aws-opensearch-embedding.md

@@ -232,4 +232,4 @@ EMBEDDING_MODEL=cohere/embed-v4.0
 OPENSEARCH_EMBEDDING_DIMENSION=1536
 ```
 
-Restart Plane and complete the remaining steps in [Set up semantic search](/self-hosting/govern/plane-ai/semantic-search).
+Restart Plane and complete the remaining steps in [Configure embedding model](/self-hosting/govern/plane-ai/configure-embedding-model).

docs/self-hosting/govern/plane-ai/configure-embedding-model.md

@@ -31,7 +31,7 @@ Two options depending on your OpenSearch setup.
 
 ### Option A: Use an existing OpenSearch model ID
 
-Use this if you've already deployed an embedding model in OpenSearch - either via the [AWS OpenSearch embedding guide](/self-hosting/govern/aws-opensearch-embedding) or manually on self-hosted OpenSearch.
+Use this if you've already deployed an embedding model in OpenSearch - either via the [AWS OpenSearch embedding guide](/self-hosting/govern/plane-ai/aws-opensearch-embedding) or manually on self-hosted OpenSearch.
 
 ```bash
 EMBEDDING_MODEL=cohere/embed-v4.0          # must match the deployed model
@@ -92,7 +92,7 @@ Replace `<your-region>` with your `BR_AWS_REGION` value.
 :::
 
 :::info AWS managed OpenSearch
-Auto-deploy requires direct ML access to OpenSearch. AWS managed OpenSearch restricts this, so deploy the model manually using the [AWS OpenSearch embedding guide](/self-hosting/govern/aws-opensearch-embedding), then use the model ID option above.
+Auto-deploy requires direct ML access to OpenSearch. AWS managed OpenSearch restricts this, so deploy the model manually using the [AWS OpenSearch embedding guide](/self-hosting/govern/plane-ai/aws-opensearch-embedding), then use the model ID option above.
 :::
 
 ##  Restart Plane

docs/self-hosting/govern/plane-ai/configure-plane-ai.md

@@ -34,7 +34,7 @@ Plane AI requires four things to work:
 You can provide API keys for both OpenAI and Anthropic, making all models available to users. If you provide only one key, users will only have access to that provider's models.
 
 :::tip Custom or self-hosted models
-To use Ollama, Groq, LiteLLM, AWS Bedrock, or any OpenAI-compatible endpoint, see [Custom LLM models](/self-hosting/govern/plane-ai/custom-llm).
+To use Ollama, Groq, LiteLLM, AWS Bedrock, or any OpenAI-compatible endpoint, see [Custom LLM models](#custom-llm-models).
 :::
 
 ## Set up databases

vercel.json

@@ -107,6 +107,10 @@
     {
       "source": "/self-hosting/govern/plane-ai",
       "destination": "/self-hosting/govern/plane-ai/configure-plane-ai"
+    },
+    {
+      "source": "/self-hosting/govern/aws-opensearch-embedding",
+      "destination": "/self-hosting/govern/plane-ai/configure-embedding-model"
     }
   ],
   "rewrites": [