mirror of
https://github.com/supabase/supabase.git
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Taryn King
65c6929414
## I have read the [CONTRIBUTING.md](https://github.com/supabase/supabase/blob/master/CONTRIBUTING.md) file. YES ## What kind of change does this PR introduce? Updates verbiage throughout docs to use postgres over postgresql. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Documentation** * Updated terminology throughout documentation, guides, and resources for consistent product naming across all user-facing materials, including page titles, descriptions, and reference documentation. <!-- end of auto-generated comment: release notes by coderabbit.ai -->
97 lines
3.6 KiB
Plaintext
97 lines
3.6 KiB
Plaintext
---
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id: 'ai'
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title: 'AI & Vectors'
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description: 'The best vector database is the database you already have.'
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subtitle: 'The best vector database is the database you already have.'
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hideToc: true
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---
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Supabase provides an open source toolkit for developing AI applications using Postgres and pgvector. Use the Supabase client libraries to store, index, and query your vector embeddings at scale.
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The toolkit includes:
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- A [vector store](/docs/guides/ai/vector-columns) and embeddings support using Postgres and pgvector.
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- A [Python client](/docs/guides/ai/vecs-python-client) for managing unstructured embeddings.
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- An [embedding generation](/docs/guides/ai/quickstarts/generate-text-embeddings) process using open source models directly in Edge Functions.
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- [Database migrations](/docs/guides/ai/examples/headless-vector-search#prepare-your-database) for managing structured embeddings.
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- Integrations with all popular AI providers, such as [OpenAI](/docs/guides/ai/examples/openai), [Hugging Face](/docs/guides/ai/hugging-face), [LangChain](/docs/guides/ai/langchain), and more.
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## Search
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You can use Supabase to build different types of search features for your app, including:
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- [Semantic search](/docs/guides/ai/semantic-search): search by meaning rather than exact keywords
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- [Keyword search](/docs/guides/ai/keyword-search): search by words or phrases
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- [Hybrid search](/docs/guides/ai/hybrid-search): combine semantic search with keyword search
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## Examples
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Check out all of the AI [templates and examples](https://github.com/supabase/supabase/tree/master/examples/ai) in our GitHub repository.
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{/* <!-- vale off --> */}
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<div className="grid md:grid-cols-12 gap-4 not-prose">
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{aiExamples.map((x) => (
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<div className="col-span-4" key={x.href}>
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<Link href={x.href} passHref>
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<GlassPanel icon={'/docs/img/icons/github-icon'} hasLightIcon={true} title={x.name}>
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{x.description}
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</GlassPanel>
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</Link>
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</div>
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))}
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</div>
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{/* <!-- vale on --> */}
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## Integrations
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{/* <!-- vale off --> */}
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<div className="grid md:grid-cols-12 gap-4 not-prose">
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{aiIntegrations.map((x) => (
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<div className="col-span-4" key={x.href}>
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<Link href={x.href} passHref>
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<GlassPanel title={x.name}>{x.description}</GlassPanel>
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</Link>
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</div>
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))}
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</div>
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{/* <!-- vale on --> */}
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## Case studies
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{/* <!-- vale off --> */}
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<div className="grid md:grid-cols-12 gap-4 not-prose">
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{[
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{
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name: 'Berri AI Boosts Productivity by Migrating from AWS RDS to Supabase with pgvector',
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description:
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'Learn how Berri AI overcame challenges with self-hosting their vector database on AWS RDS and successfully migrated to Supabase.',
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href: 'https://supabase.com/customers/berriai',
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},
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{
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name: 'Firecrawl switches from Pinecone to Supabase for Postgres vector embeddings',
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description:
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'How Firecrawl boosts efficiency and accuracy of chat powered search for documentation using Supabase with pgvector',
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href: 'https://supabase.com/customers/firecrawl',
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},
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{
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name: 'Markprompt: GDPR-Compliant AI Chatbots for Docs and Websites',
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description:
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"AI-powered chatbot platform, Markprompt, empowers developers to deliver efficient and GDPR-compliant prompt experiences on top of their content, by leveraging Supabase's secure and privacy-focused database and authentication solutions",
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href: 'https://supabase.com/customers/markprompt',
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},
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].map((x) => (
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<div className="col-span-4" key={x.href}>
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<Link href={x.href} passHref>
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<GlassPanel title={x.name}>{x.description}</GlassPanel>
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</Link>
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</div>
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))}
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</div>
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{/* <!-- vale on --> */}
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