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Jai Chopra
2023-03-22 13:35:35 -07:00
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# Welcome to LanceDB's Documentation
LanceDB is an open-source, serverless, low-latency vector database for AI applications.
LanceDB is built with persistent storage as a first class citizen, which simplifies storage, retrieval and filtering for large-scale, cost intensive AI applications.
LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrevial, filtering and management of embeddings.
The key features of LanceDB include:
* Scale to billion+ vector-search all without managing servers.
* Production-scale vector search with no servers to manage.
* Combine attribute-based information with vectors and store them as a single source-of-truth.
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* Ecosystem integrations: Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
LanceDB's core is written in Rust 🦀 and is built using Lance, an open-source columnar format designed for performant ML workloads.
## Documentation Quick Links
* `Quick start` - search and filter a hello world vector dataset with LanceDB using the Python SDK.