Merge branch 'current' into dbeatty/oss-testing-for-pull-requests

website/blog/2023-12-11-semantic-layer-on-semantic-layer.md

@@ -1,6 +1,6 @@
 ---
-title: "How we built consitent product launch metrics with the dbt Semantic Layer."
-description: "We built and end-to-end data pipeline for measuring the launch of the dbt Semantic Layer using the dbt Semantic Layer."
+title: "How we built consistent product launch metrics with the dbt Semantic Layer."
+description: "We built an end-to-end data pipeline for measuring the launch of the dbt Semantic Layer using the dbt Semantic Layer."
 slug: product-analytics-pipeline-with-dbt-semantic-layer
 
 authors: [jordan_stein]

website/docs/docs/core/connect-data-platform/infer-setup.md

@@ -12,16 +12,21 @@ meta:
   slack_channel_name: n/a
   slack_channel_link: 
   platform_name: 'Infer'
-  config_page: '/reference/resource-configs/no-configs'
+  config_page: '/reference/resource-configs/infer-configs'
   min_supported_version: n/a
 ---
 
+:::info Vendor-supported plugin
+
+Certain core functionality may vary. If you would like to report a bug, request a feature, or contribute, you can check out the linked repository and open an issue.
+
+:::
+
 import SetUpPages from '/snippets/_setup-pages-intro.md';
 
 <SetUpPages meta={frontMatter.meta} />
 
 
-
 ## Connecting to Infer with **dbt-infer**
 
 Infer allows you to perform advanced ML Analytics within SQL as if native to your data warehouse.
@@ -30,10 +35,18 @@ you can build advanced analysis for any business use case.
 Read more about SQL-inf and Infer in the [Infer documentation](https://docs.getinfer.io/).
 
 The `dbt-infer` package allow you to use SQL-inf easily within your DBT models. 
-You can read more about the `dbt-infer` package itself and how it connecst to Infer in the [dbt-infer documentation](https://dbt.getinfer.io/).
+You can read more about the `dbt-infer` package itself and how it connects to Infer in the [dbt-infer documentation](https://dbt.getinfer.io/).
+
+The dbt-infer adapter is maintained via PyPi and installed with pip.
+To install the latest dbt-infer package simply run the following within the same shell as you run dbt.
+```python
+pip install dbt-infer
+```
+
+Versioning of dbt-infer follows the standard dbt versioning scheme - meaning if you are using dbt 1.2 the corresponding dbt-infer will be named 1.2.x where is the latest minor version number.
 
 Before using SQL-inf in your DBT models you need to setup an Infer account and generate an API-key for the connection.
-You can read how to do that in the [Getting Started Guide](https://dbt.getinfer.io/docs/getting_started#sign-up-to-infer).
+You can read how to do that in the [Getting Started Guide](https://docs.getinfer.io/docs/reference/integrations/dbt).
 
 The profile configuration in `profiles.yml` for `dbt-infer` should look something like this:
 
@@ -101,10 +114,10 @@ as native SQL functions.
 
 Infer supports a number of SQL-inf commands, including 
 `PREDICT`, `EXPLAIN`, `CLUSTER`, `SIMILAR_TO`, `TOPICS`, `SENTIMENT`.
-You can read more about SQL-inf and the commands it supports in the [SQL-inf Reference Guide](https://docs.getinfer.io/docs/reference).
+You can read more about SQL-inf and the commands it supports in the [SQL-inf Reference Guide](https://docs.getinfer.io/docs/category/commands).
 
 To get you started we will give a brief example here of what such a model might look like.
-You can find other more complex examples on the [dbt-infer examples page](https://dbt.getinfer.io/docs/examples).
+You can find other more complex examples in the [dbt-infer examples repo](https://github.com/inferlabs/dbt-infer-examples).
 
 In our simple example, we will show how to use a previous model 'user_features' to predict churn
 by predicting the column `has_churned`.

website/docs/reference/resource-configs/infer-configs.md

@@ -0,0 +1,39 @@
+---
+title: "Infer configurations"
+description: "Read this guide to understand how to configure Infer with dbt."
+id: "infer-configs"
+---
+
+
+## Authentication
+
+To connect to Infer from your dbt instance you need to set up a correct profile in your `profiles.yml`.
+
+The format of this should look like this:
+
+<File name='~/.dbt/profiles.yml'>
+
+```yaml
+<profile-name>:
+  target: <target-name>
+  outputs:
+    <target-name>:
+      type: infer
+      url: "<infer-api-endpoint>"
+      username: "<infer-api-username>"
+      apikey: "<infer-apikey>"
+      data_config:
+        [configuration for your underlying data warehouse]  
+```
+
+</File>
+
+### Description of Infer Profile Fields
+
+| Field      | Required | Description                                                                                                                                       |
+|------------|----------|---------------------------------------------------------------------------------------------------------------------------------------------------|
+| `type`     | Yes | Must be set to `infer`. This must be included either in `profiles.yml` or in the `dbt_project.yml` file.                                          |
+| `url`      | Yes | The host name of the Infer server to connect to. Typically this is `https://app.getinfer.io`.                                                     |
+| `username` | Yes | Your Infer username - the one you use to login.                                                                                                   |
+| `apikey`   | Yes | Your Infer api key.                                                                                                                               |
+| `data_config` | Yes | The configuration for your underlying data warehouse. The format of this follows the format of the configuration for your data warehouse adapter. |

website/sidebars.js

@@ -723,6 +723,7 @@ const sidebarSettings = {
         "reference/resource-configs/oracle-configs",
         "reference/resource-configs/upsolver-configs",
         "reference/resource-configs/starrocks-configs",
+        "reference/resource-configs/infer-configs",
       ],
     },
     {