deps

montanalow · montanalow · commit b237e1769b82 · 2024-08-12T09:24:59.000-07:00
diff --git a/README.md b/README.md
@@ -1506,7 +1506,7 @@ Configuring these dataset arguments ensures that the model is trained on the app
 Once the fine-tuning is completed, you will see the model in your Hugging Face repository (example: https://huggingface.co/santiadavani/fingpt-llama2-7b-chat). Since we are using LoRA to fine tune the model we only save the adapter weights (~2MB) instead of all the 7B weights (14GB) in Llama2-7b model.  
 
 ## Inference
-For inference, we will be utilizing the [OpenSourceAI](https://postgresml.org/docs/use-cases/opensourceai) class from the [pgml SDK](https://postgresml.org/docs/api/client-sdk/getting-started). Here's an example code snippet:
+For inference, we will be utilizing the [OpenSourceAI](https://postgresml.org/docs/open-source/korvus/guides/opensourceai) class from the [pgml SDK](https://postgresml.org/docs/open-source/korvus/). Here's an example code snippet:
 
 ```python
 import pgml
diff --git a/pgml-cms/docs/TODO/architecture/why-postgresml.md b/pgml-cms/docs/TODO/architecture/why-postgresml.md
@@ -32,4 +32,4 @@ PostgresML simplifies things. By moving machine learning models to the database,
 </figure>
 
 
-For a detailed overview of how PostgresML works, take a look at our [architecture documentation](/docs/resources/architecture/).
+For a detailed overview of how PostgresML works, take a look at our [architecture documentation](/docs/).
diff --git a/pgml-dashboard/src/api/cms.rs b/pgml-dashboard/src/api/cms.rs
@@ -66,7 +66,7 @@ lazy_static! {
             ("introduction/getting-started/import-your-data/", "introduction/import-your-data/"),
             ("introduction/getting-started/import-your-data/foreign-data-wrapper", "introduction/import-your-data/foreign-data-wrappers"),
             ("use-cases/embeddings/generating-llm-embeddings-with-open-source-models-in-postgresml", "open-source/pgml/guides/embeddings/in-database-generation"),
-            ("use-cases/natural-language-processing", "open-source/pgml/guides/natural-language-processing"),
+            ("use-cases/natural-language-processing", "open-source/pgml/guides/llms/"),
         ])
     );
 }
diff --git a/pgml-dashboard/src/components/navigation/navbar/marketing/template.html b/pgml-dashboard/src/components/navigation/navbar/marketing/template.html
@@ -17,16 +17,16 @@
   ];
 
   let solutions_use_cases_links = vec![
+    StaticNavLink::new("RAG".to_string(), "/rag".to_string()).icon("manage_search"),
     StaticNavLink::new("Search".to_string(), "/docs/open-source/pgml/guides/improve-search-results-with-machine-learning".to_string()).icon("feature_search"),
     StaticNavLink::new("Chatbots".to_string(), "/chatbot".to_string()).icon("smart_toy"),
   ];
 
   let solutions_tasks_links = vec![
-    StaticNavLink::new("RAG".to_string(), "/rag".to_string()).icon("manage_search"),
-    StaticNavLink::new("NLP".to_string(), "/docs/open-source/pgml/guides/natural-language-processing".to_string()).icon("description"),
-    StaticNavLink::new("Supervised Learning".to_string(), "/docs/open-source/pgml/guides/supervised-learning".to_string()).icon("model_training"),
+    StaticNavLink::new("LLMs".to_string(), "/docs/open-source/pgml/guides/llms/".to_string()).icon("token"),
     StaticNavLink::new("Embeddings".to_string(), "/docs/open-source/pgml/guides/embeddings/".to_string()).icon("subtitles"),
     StaticNavLink::new("Vector Database".to_string(), "/docs/open-source/pgml/guides/vector-database".to_string()).icon("open_with"),
+    StaticNavLink::new("Supervised Learning".to_string(), "/docs/open-source/pgml/guides/supervised-learning/".to_string()).icon("model_training"),
   ];
 
   let company_links = vec![
diff --git a/pgml-dashboard/src/components/sections/footers/marketing_footer/mod.rs b/pgml-dashboard/src/components/sections/footers/marketing_footer/mod.rs
@@ -17,14 +17,18 @@ impl MarketingFooter {
             product: vec![
                 StaticNavLink::new("Korvus".into(), "https://github.com/postgresml/korvus".into()),
                 StaticNavLink::new("PGML".into(), "https://github.com/postgresml/postgresml".into()),
-                StaticNavLink::new("PpCat Learning".into(), "https://github.com/postgresml/pgcat".into()),
+                StaticNavLink::new("PgCat".into(), "https://github.com/postgresml/pgcat".into()),
                 StaticNavLink::new("PostgresML".into(), "/docs/cloud/overview".into()),
                 StaticNavLink::new("VPC".into(), "/docs/cloud/enterprise/vpc".into()),
             ],
             solutions: vec![
                 StaticNavLink::new(
-                    "NLP".into(),
-                    "/docs/open-source/pgml/guides/natural-language-processing".into(),
+                    "LLMs".into(),
+                    "/docs/open-source/pgml/guides/llms/".into(),
+                ),
+                StaticNavLink::new(
+                    "Embeddings".into(),
+                    "/docs/open-source/pgml/guides/embeddings/".into(),
                 ),
                 StaticNavLink::new(
                     "Supervised Learning".into(),

Original file line number	Diff line number	Diff line change
`@@ -32,4 +32,4 @@ PostgresML simplifies things. By moving machine learning models to the database,`
`32`	`32`	`</figure>`
`33`	`33`
`34`	`34`
`35`		`-For a detailed overview of how PostgresML works, take a look at our [architecture documentation](/docs/resources/architecture/).`
	`35`	`+For a detailed overview of how PostgresML works, take a look at our [architecture documentation](/docs/).`
Original file line number	Diff line number	Diff line change
`@@ -66,7 +66,7 @@ lazy_static! {`
`66`	`66`	`("introduction/getting-started/import-your-data/", "introduction/import-your-data/"),`
`67`	`67`	`("introduction/getting-started/import-your-data/foreign-data-wrapper", "introduction/import-your-data/foreign-data-wrappers"),`
`68`	`68`	`("use-cases/embeddings/generating-llm-embeddings-with-open-source-models-in-postgresml", "open-source/pgml/guides/embeddings/in-database-generation"),`
`69`		`- ("use-cases/natural-language-processing", "open-source/pgml/guides/natural-language-processing"),`
	`69`	`+ ("use-cases/natural-language-processing", "open-source/pgml/guides/llms/"),`
`70`	`70`	`])`
`71`	`71`	`);`
`72`	`72`	`}`