LanceDB

LanceDB

LanceDB is an AI-native multimodal lakehouse designed for scale, serving as a unified platform for all AI data and workloads from agents to training.

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Overview

LanceDB is an AI-native multimodal lakehouse designed for scale, serving as a unified platform for all AI data and workloads from agents to training. It provides high-performance storage, hybrid search, and analytics for multimodal data including text, audio, and video. Key capabilities include zero-copy data evolution at petabyte scale, blazing fast hybrid search with filtering and reranking, and a declarative feature engineering engine with LLM-as-UDF support. The platform caters to both growing teams and enterprises requiring billion-scale vector management. Pricing includes a serverless option with pay-as-you-go usage and a $100 one-time credit for the first month, alongside enterprise plans.

Key features

  • Hybrid search with filtering and reranking
  • Zero-copy data evolution at petabyte scale
  • Declarative distributed feature engineering
  • High-performance multimodal SQL engine

Pros & cons

Collected from user feedback found in web search

Pros

  • Multimodal data support for text, images, audio, video
  • Easy integration with PyTorch and Hugging Face
  • Open-source and free to use
  • Fast vector search with billions of vectors in milliseconds

Pricing

Contact for pricingStarting price: Open source (free)
View pricing page

Verified on:

Use cases

  • Generative AI application development
  • Large-scale model training infrastructure
  • Multimodal search and analytics

Who it is for

AI researchersdevelopment teams

Integrations

LangChainLlamaIndexOpenAIPythonApache ArrowPandasPyTorch

Tags

API

How we verified this

Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.

Last verified 09/06/2026Verified sources: 2

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