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Serverless vector database for AI, built on Lance
LanceDB is an open-source, developer-friendly vector database built on the Lance columnar data format, designed to be embedded directly in applications with no separate server to manage. It stores vectors alongside metadata and even raw multimodal data, supports fast similarity search and filtering, and works well on local disk or object storage like S3, making it a lightweight, serverless option for AI retrieval.
LanceDB appeals to teams that want a simple, fast vector store without operating infrastructure, as well as those managing large multimodal datasets for training and retrieval. The underlying Lance format enables efficient columnar access and versioning of large datasets, and LanceDB Cloud adds a managed, scalable option. It integrates with common frameworks, making it easy to slot into RAG and data pipelines.
Pricing Model
FREEMIUM
Starting Price
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Free Options
Free version
| Feature | Open Source Popular | LanceDB Cloud |
|---|---|---|
| Embedded serverless database | — | |
| Vector and multimodal storage | — | |
| Runs on disk or S3 | — | |
| Framework integrations | — | |
| Community support | — | |
| Managed and scalable | — | |
| High-performance indexing | — | |
| Backups and monitoring | — | |
| Enterprise security | — | |
| Priority support | — |
Other
Storage
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API Types
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Developer Features
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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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Open-source vector database built for scale
High-performance open-source vector database
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