diff --git a/docs-site/content/guide/syncing-data-into-typesense.md b/docs-site/content/guide/syncing-data-into-typesense.md
index be2ffcae..50601393 100644
--- a/docs-site/content/guide/syncing-data-into-typesense.md
+++ b/docs-site/content/guide/syncing-data-into-typesense.md
@@ -96,52 +96,6 @@ This buffer-based approach provides several benefits:
 - The buffer provides an audit trail of changes
 - You can tune the processing frequency based on your real-time requirements
 
-### Using Sequin
-
-[Sequin](https://sequinstream.com) streams data from your Postgres database to Typesense in real-time. Any change to your database (whether from your application, an internal tool, or another process) will be immediately reflected in Typesense.
-
-This approach comes with several benefits:
-
-- Sequin uses logical replication, which adds virtually no overhead to your database (unlike polling and triggers)
-- The direct integration with Typesense leverages the bulk import API to efficiently load every create and update. It also supports deletes out of the box.
-- You can tune Sequin's batching behavior to your real-time requirements
-- Sequin comes with transforms, backfills, filtering, and built-in retries to ensure your Postgres tables are perfectly replicated into Typesense.
-
-#### Setup overview
-
-:::tip
-Read Sequin's Typesense [Quickstart](https://sequinstream.com/docs/quickstart/typesense) for a step-by-step guide.
-:::
-
-1. Setup Sequin locally or create a cloud account.
-2. Connect your Postgres database to Sequin.
-3. Create a Typesense sink for each table you want to replicate to a Typesense collection.
-
-Here's an [example `Sequin.yaml`](https://sequinstream.com/docs/reference/sequin-yaml#typesense-sink) showing how to sink a `products` table to Typesense:
-
-```yaml
-databases:
-  - name: "prod-db"
-    username: "postgres"
-    password: "postgres"
-    hostname: "my-database-instance.abcd1234wxyz.us-east-1.rds.amazonaws.com"
-    database: "prod"
-    port: 5432
-    slot_name: "sequin_slot"
-    publication_name: "sequin_pub"
-sinks:
-  - name: "typesense-sink"
-    database: "prod-db"
-    table: "public.products"
-    destination:
-        type: "typesense"
-        endpoint_url: "https://your-typesense-server:8108"
-        collection_name: "products"
-        api_key: "your-api-key"
-        batch_size: 1000
-        timeout_seconds: 5
-```
-
 ## Full re-indexing
 
 In addition to the above strategies, you could also do a re-index of your entire dataset on say a nightly basis, just to make sure any gaps in the synced data due to schema validation errors, network issues, failed retries etc are addressed and filled.