diff --git a/db/init.sql b/db/init.sql
index 0f723e1..8271193 100644
--- a/db/init.sql
+++ b/db/init.sql
@@ -1,30 +1,15 @@
--- Install the extension we just compiled
-
 CREATE EXTENSION IF NOT EXISTS vector;
 CREATE EXTENSION IF NOT EXISTS pg_trgm;
 CREATE EXTENSION IF NOT EXISTS fuzzystrmatch;
 
-/*
-For simplicity, we are directly adding the content into this table as
-a column containing text data. It could easily be a foreign key pointing to
-another table instead that has the content you want to vectorize for
-semantic search, just storing here the vectorized content in our "items" table.
-
-"768" dimensions for our vector embedding is critical - that is the
-number of dimensions our open source embeddings model output, for later in the
-blog post.
-*/
-
 CREATE TABLE feeds (
-    id SERIAL PRIMARY KEY,
     title VARCHAR(255) NOT NULL,
-    link VARCHAR(255) NOT NULL,
+    link VARCHAR(255) PRIMARY KEY,
     language VARCHAR(10),
+    image_title VARCHAR(255),	
     image_url VARCHAR(255),
-    image_width INT,
-    image_height INT,
     summary TEXT,
     source VARCHAR(255),
-    date TIMESTAMP,
-    embedding vector(768)
+    date timestamp,
+    embedding vector(384)
 );