diff --git a/apps/www/components/Sections/CustomerQuotesSection.tsx b/apps/www/components/Sections/CustomerQuotesSection.tsx index 211fea6a216..c2a72799729 100644 --- a/apps/www/components/Sections/CustomerQuotesSection.tsx +++ b/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 diff --git a/apps/www/data/products/vector/pageData.tsx b/apps/www/data/products/vector/pageData.tsx index ea2db31bcf1..4402f6caded 100644 --- a/apps/www/data/products/vector/pageData.tsx +++ b/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', }, ], }, diff --git a/apps/www/public/images/product/vector/community/berriAI.svg b/apps/www/public/images/product/vector/community/berriAI.svg new file mode 100644 index 00000000000..6335bb2e49e --- /dev/null +++ b/apps/www/public/images/product/vector/community/berriAI.svg @@ -0,0 +1,16 @@ + + + + + + + + + + + + + + + +