diff --git a/_automating-configurations/workflow-templates.md b/_automating-configurations/workflow-templates.md
index 1133148c8f..62406ae069 100644
--- a/_automating-configurations/workflow-templates.md
+++ b/_automating-configurations/workflow-templates.md
@@ -138,5 +138,8 @@ The following table lists the supported workflow templates. To use a workflow te
 | `multimodal_search_with_bedrock_titan`    | Deploys an Amazon Bedrock multimodal model and configures an ingest pipeline with a `text_image_embedding` processor and a k-NN index for [multimodal search]({{site.url}}{{site.baseurl}}/search-plugins/multimodal-search/). You must provide your AWS credentials. | `create_connector.credential.access_key`, `create_connector.credential.secret_key`, `create_connector.credential.session_token` |[Defaults](https://github.com/opensearch-project/flow-framework/blob/2.13/src/main/resources/defaults/multimodal-search-bedrock-titan-defaults.json)                  |
 | `hybrid_search`  | Configures [hybrid search]({{site.url}}{{site.baseurl}}/search-plugins/hybrid-search/): <br> - Creates an ingest pipeline, a k-NN index, and a search pipeline with a `normalization_processor`. You must provide the model ID of the text embedding model to be used. | `create_ingest_pipeline.model_id`        |[Defaults](https://github.com/opensearch-project/flow-framework/blob/2.13/src/main/resources/defaults/hybrid-search-defaults.json)                  |
 | `conversational_search_with_llm_deploy`  | Deploys a large language model (LLM) (by default, Cohere Chat) and configures a search pipeline with a `retrieval_augmented_generation` processor for [conversational search]({{site.url}}{{site.baseurl}}/search-plugins/conversational-search/).  | `create_connector.credential.key`  |[Defaults](https://github.com/opensearch-project/flow-framework/blob/2.13/src/main/resources/defaults/conversational-search-defaults.json) |
+| `semantic_search_with_reindex`  | Configures [semantic search]({{site.url}}{{site.baseurl}}/search-plugins/semantic-search/) with a newly deployed Cohere embedding model. The model is configured to reindex a source index into a newly configured k-NN index. You must provide the API key for the Cohere model along with the source index to be reindexed. | `create_connector.credential.key`, `reindex.source_index`|[Defaults](https://github.com/opensearch-project/flow-framework/blob/main/src/main/resources/defaults/semantic-search-with-reindex-defaults.json) |
+| `semantic_search_with_local_model`  | Configures [semantic search]({{site.url}}{{site.baseurl}}/search-plugins/semantic-search/) and deploys a pretrained model (`msmarco-distilbert-base-tas-b`). Adds a [`query_enricher`]({{site.url}}{{site.baseurl}}/search-plugins/search-pipelines/neural-query-enricher/) search processor that sets a default model ID for neural queries and creates a linked k-NN index called `my-nlp-index`. You must provide the API key for the Cohere model.  | None  | [Defaults](https://github.com/opensearch-project/flow-framework/blob/main/src/main/resources/defaults/semantic-search-with-local-model-defaults.json) |
+| `hybrid_search_with_local_model`  | Configures [hybrid search]({{site.url}}{{site.baseurl}}/search-plugins/hybrid-search/) and deploys a pretrained model (`msmarco-distilbert-base-tas-b`). Creates an ingest pipeline, a k-NN index, and a search pipeline with a `normalization_processor`.  | None  | [Defaults](https://github.com/opensearch-project/flow-framework/blob/main/src/main/resources/defaults/hybrid-search-with-local-model-defaults.json) |