From e896a4fcdb28fcecded54e7e56263dc292a47df7 Mon Sep 17 00:00:00 2001 From: Jai Chopra Date: Wed, 22 Mar 2023 13:35:35 -0700 Subject: [PATCH] update main doc page --- docs/docs/index.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/docs/index.md b/docs/docs/index.md index b4febe9d..7d10cdb8 100644 --- a/docs/docs/index.md +++ b/docs/docs/index.md @@ -1,12 +1,10 @@ # 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. @@ -14,6 +12,8 @@ The key features of LanceDB include: * 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.