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Superlinked is a vector compute AI agent offering a framework and server for building vector search and recommendations from multiple data types. Founded in 2021 and based in San Francisco, California, USA, Superlinked helps AI and search engineers automate vector compute work and get results faster.
Superlinked takes structured data and text as input and produces embeddings and search results. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Python, LangChain, LlamaIndex and OpenAI, so the agent works inside existing workflows.
Superlinked is built for AI and search engineers. It suits teams that want multi-modal vector embeddings and semantic search without adding headcount, while keeping people in control of review and final decisions.
Superlinked is often compared with Pinecone. Superlinked stands out for multi-modal vector embeddings and recommendations. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Pricing Model
Subscription
Starting Price
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Free Options
Free version, Free trial
Try Superlinked with limited usage.
Superlinked for individuals and growing teams. See superlinked.com for current pricing.
Superlinked for larger organizations with security and admin needs. Contact sales for a quote.
| Feature | Free | Pro Popular | Enterprise |
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| Multi-modal vector embeddings | , | ||
| Limited monthly usage | , | , | |
| Community support | , | , | |
| Semantic search | , | , | |
| Higher usage limits | , | , | |
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| Everything in Pro | , | , | |
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| Open-source framework | , | , | |
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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