# LanceDB

LanceDB is an open-source, developer-friendly multimodal vector database and AI lakehouse designed for scalable RAG, agents, and search applications.

Source: https://himalayas.app/companies/lancedb

## Company facts

| Fact | Value |
| --- | --- |
| Founded | 2022 |
| CEO | Chang She |
| Employees | 11-50 |
| Markets | AI Infrastructure, Vector Databases, Multimodal Data Platforms, Data Lakehouse, Data Management and Storage, Semantic Search and Retrieval (RAG), Computer Vision and Video Data Infrastructure, Cloud Data Platforms, MLOps, and Big Data and Analytics |
| Employee locations | United States |
| Website | [lancedb.com](https://lancedb.com?utm_source=himalayas.app&utm_medium=himalayas.app&utm_campaign=himalayas.app&ref=himalayas.app&source=himalayas.app) |

## FAQs

### Which countries does LanceDB have remote employees in?

LanceDB has employees in United States.

### What is LanceDB's tech stack?

LanceDB lists [7 technologies](https://himalayas.app/companies/lancedb/tech-stack) in its tech stack, including Kubernetes, Terraform, React, Python, and Rust.

### When was LanceDB founded?

LanceDB was founded in 2022.

### Who is the CEO of LanceDB?

Chang She is the CEO of LanceDB.

### How many employees does LanceDB have?

LanceDB has 11-50 employees.

### What industries or markets does LanceDB operate in?

LanceDB operates in the following markets: AI Infrastructure, Vector Databases, Multimodal Data Platforms, Data Lakehouse, Data Management and Storage, Semantic Search and Retrieval (RAG), Computer Vision and Video Data Infrastructure, Cloud Data Platforms, MLOps, and Big Data and Analytics.

### What is LanceDB's website?

LanceDB's website is [lancedb.com](https://lancedb.com?utm_source=himalayas.app&utm_medium=himalayas.app&utm_campaign=himalayas.app&ref=himalayas.app&source=himalayas.app).

### Where can I find LanceDB on social media?

You can find LanceDB on [LinkedIn](https://www.linkedin.com/company/lancedb) and [Twitter](https://x.com/lancedb).

## On Himalayas

| Page | Count |
| --- | --- |
| Tech stack | [7 technologies](https://himalayas.app/companies/lancedb/tech-stack) |

## About LanceDB

```text
AI applications have outgrown the data infrastructure built for yesterday. Today's complex workloads demand more than traditional data lakes or vector databases - they need a foundation built for multimodal AI at scale. LanceDB exists to solve this fundamental gap, creating a unified platform that can handle embeddings, documents, images, and video all in one place, enabling teams to build AI applications faster, cheaper, and with dramatically reduced infrastructure complexity.

By 2025, an estimated 156 zettabytes of data will be video - representing 90% of all data generated. The Multimodal Lakehouse combines the best of data lakes and vector databases into a single platform optimized for AI workloads, eliminating the need for multiple disparate systems. Leading AI companies like Runway, Midjourney, and Character.ai rely on LanceDB to search over tens of billions of vectors and manage petabytes of training data, proving that the future of AI infrastructure must be built to handle the richness, scale, and velocity of multimodal data.
```

## Tech stack

- Kubernetes
- Terraform
- React
- Python
- Rust
- TypeScript
- Apache Arrow

## LanceDB online

- [LinkedIn](https://www.linkedin.com/company/lancedb)
- [Twitter](https://x.com/lancedb)