old site updates

asg017 · Aug 17, 2023 · 05f0c61 · 05f0c61
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commit 05f0c61
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Showing 4 changed files with 17 additions and 14 deletions.
diff --git a/site/.vitepress/config.ts b/site/.vitepress/config.ts
@@ -64,10 +64,6 @@ function nav(): DefaultTheme.NavItem[] {
               text: "Python: PyPi package",
               link: `https://pypi.org/project/${PROJECT}`,
             },
-            {
-              text: "Datasette: Plugin",
-              link: `https://datasette.io/plugins/datasette-${PROJECT}`,
-            },
             {
               text: "Node.js: NPM package",
               link: `https://www.npmjs.com/package/${PROJECT}`,
@@ -92,6 +88,14 @@ function nav(): DefaultTheme.NavItem[] {
               text: "Golang: Go module",
               link: `https://pkg.go.dev/github.com/asg017/${PROJECT}/bindings/go`,
             },
+            {
+              text: "Datasette: Plugin",
+              link: `https://datasette.io/plugins/datasette-${PROJECT}`,
+            },
+            {
+              text: "sqlite-utils: Plugin",
+              link: `https://datasette.io/plugins/datasette-${PROJECT}`,
+            },
           ],
         },
       ],

diff --git a/site/compare.md b/site/compare.md
@@ -19,10 +19,11 @@ This page goes over other vector databases and vector storage techniques that ex
 
 ## Vector Databases (Pinecone, Milvus, Qdrant, etc.) { #vector-dbs }
 
-In general, "real" vector databases like [Pinecone](https://www.pinecone.io/), [Milvus](https://milvus.io/), [Qdrant](https://qdrant.tech/), and dozens of others will likely "scale" better than `sqlite-vss`. They mostly likely handle writes faster and more efficiently than `sqlite-vss`, can handle a large number of users at the same time, and handle metadata-filtering on queries.
+In general, "real" vector databases like [Pinecone](https://www.pinecone.io/), [Milvus](https://milvus.io/), [Qdrant](https://qdrant.tech/), and dozens of others will likely "scale" better than `sqlite-vss`. These databases perform writes faster and more efficiently than `sqlite-vss`, can handle a large number of users at the same time, and can perform metadata-filtering on queries.
 
 On the other hand, `sqlite-vss` doesn't require an entire new server to maintain, is open source, and is most likely "fast enough" for many use-cases.
 
+
 ## JSON or Pickle
 
 ## Faiss

diff --git a/site/getting-started.md b/site/getting-started.md
@@ -17,10 +17,6 @@ You have several options to include `sqlite-vss` into your projects, including P
 pip install sqlite-vss
 ```
 
-```bash [Datasette]
-datasette install datasette-sqlite-vss
-```
-
 ```bash [Node.js]
 npm install sqlite-vss
 ```
@@ -45,11 +41,13 @@ cargo add sqlite-vss
 go get -u github.com/asg017/sqlite-vss/bindings/go
 ```
 
-<!--
-```bash [sqlite-package-manager]
-spm install github.com/asg017/sqlite-vss
+```bash [Datasette]
+datasette install datasette-sqlite-vss
+```
+
+```bash [sqlite-utils]
+sqlite-utils install sqlite-utils-sqlite-vss
 ```
--->
 
 :::
 

diff --git a/site/index.md b/site/index.md
@@ -22,5 +22,5 @@ features:
   - title: Embeddable
     details: Like SQLite, no external server, no network access, zero configuration
   - title: Based on Faiss
-    details: Reliable, fast, and configurable vector search options
+    details: Reliable, fast, and configurable vector search
 ---