initial mkdocs config

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Jai Chopra
2023-03-19 15:55:21 -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.
The key features of LanceDB include:
* Scale to billion+ vector-search all without managing servers.
* Combine attribute-based information with vectors and store them as a single source-of-truth.
* Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure.
* Ecosystem integrations: Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
## Documentation Quick Links
* `Quick start` - search and filter a hello world vector dataset with LanceDB using the Python SDK.

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site_name: LanceDB Documentation
theme:
name: material

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# This file is automatically @generated by Cargo.
# It is not intended for manual editing.
version = 3
[[package]]
name = "lancedb"
version = "0.0.1"