berryAI logo

apps/www/components/Sections/CustomerQuotesSection.tsx

@@ -18,9 +18,9 @@ SwiperCore.use([Autoplay])
 interface CardInterface {
   type?: string
   avatar?: string
-  author: string
+  author?: string
   role?: string
-  quote: string | React.ReactNode
+  quote?: string | React.ReactNode
   abstract?: string
   image?: string
   url?: string

apps/www/data/products/vector/pageData.tsx

@@ -269,7 +269,7 @@ docs.query(
         role: 'Co-Founder, Markprompt',
         quote:
           'We decided to use Supabase over other specialized vector databases because it enabled us to be GDPR compliant from day one with little effort.',
-        image: '/images/product/vector/community/supabase+mendable.svg',
+        image: '/images/product/vector/community/supabase+markprompt.svg',
         abstract: 'Markprompt and Supabase - GDPR-Compliant AI Chatbots for Docs and Websites.',
         url: '/customers/markprompt',
       },
@@ -281,35 +281,21 @@ docs.query(
         role: 'CEO, Mendable',
         quote:
           'We tried other vector databases - we tried Faiss, we tried Weviate, we tried Pinecone. We found them to be incredibly expensive and not very intuitive. If you’re just doing vector search they’re great, but if you need to store a bunch of metadata that becomes a huge pain.',
-        image: '/images/product/vector/community/supabase+markprompt.svg',
+        image: '/images/product/vector/community/supabase+mendable.svg',
         abstract: 'Mendable switches from Pinecone to Supabase for PostgreSQL vector embeddings.',
         url: '/customers/mendable',
       },
     ],
     secondaryLinks: [
       {
-        type: 'customer-story',
-        avatar: '',
-        customer: 'Markprompt',
-        author: 'Michael Fester',
-        role: 'Co-Founder, Markprompt',
-        quote:
-          'We decided to use Supabase over other specialized vector databases because it enabled us to be GDPR compliant from day one with little effort.',
-        image: '/images/product/vector/community/supabase+mendable.svg',
-        abstract: 'Markprompt and Supabase - GDPR-Compliant AI Chatbots for Docs and Websites.',
-        url: '/customers/markprompt',
+        customer: 'BerriAI',
+        image: '/images/product/vector/community/berriAI.svg',
+        url: '/customers/berriai',
       },
       {
-        type: 'customer-story',
-        avatar: '',
-        customer: 'Mendable',
-        author: 'Caleb Peffer',
-        role: 'CEO, Mendable',
-        quote:
-          'We tried other vector databases - we tried Faiss, we tried Weviate, we tried Pinecone. We found them to be incredibly expensive and not very intuitive. If you’re just doing vector search they’re great, but if you need to store a bunch of metadata that becomes a huge pain.',
-        image: '/images/product/vector/community/supabase+markprompt.svg',
-        abstract: 'Mendable switches from Pinecone to Supabase for PostgreSQL vector embeddings.',
-        url: '/customers/mendable',
+        customer: 'BerriAI',
+        image: '/images/product/vector/community/berriAI.svg',
+        url: '/customers/berriai',
       },
     ],
   },

apps/www/public/images/product/vector/community/berriAI.svg

@@ -0,0 +1,16 @@
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