From feb62845a53cb0e44ea4126f4b21619c2cb5f8c5 Mon Sep 17 00:00:00 2001 From: Jai Chopra Date: Sun, 19 Mar 2023 15:55:21 -0700 Subject: [PATCH 1/3] initial mkdocs config --- docs/docs/index.md | 19 +++++++++++++++++++ docs/mkdocs.yml | 3 +++ rust/Cargo.lock | 7 +++++++ 3 files changed, 29 insertions(+) create mode 100644 docs/docs/index.md create mode 100644 docs/mkdocs.yml create mode 100644 rust/Cargo.lock diff --git a/docs/docs/index.md b/docs/docs/index.md new file mode 100644 index 00000000..b4febe9d --- /dev/null +++ b/docs/docs/index.md @@ -0,0 +1,19 @@ +# 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. diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml new file mode 100644 index 00000000..70c3765a --- /dev/null +++ b/docs/mkdocs.yml @@ -0,0 +1,3 @@ +site_name: LanceDB Documentation +theme: + name: material diff --git a/rust/Cargo.lock b/rust/Cargo.lock new file mode 100644 index 00000000..470b46a1 --- /dev/null +++ b/rust/Cargo.lock @@ -0,0 +1,7 @@ +# This file is automatically @generated by Cargo. +# It is not intended for manual editing. +version = 3 + +[[package]] +name = "lancedb" +version = "0.0.1" From 4c3eb50278d34b85328e024fe5191bbe16337d12 Mon Sep 17 00:00:00 2001 From: Jai Chopra Date: Wed, 22 Mar 2023 13:33:27 -0700 Subject: [PATCH 2/3] rm Cargo.lock --- .gitignore | 3 ++- rust/Cargo.lock | 7 ------- 2 files changed, 2 insertions(+), 8 deletions(-) delete mode 100644 rust/Cargo.lock diff --git a/.gitignore b/.gitignore index ff48bc56..82273582 100644 --- a/.gitignore +++ b/.gitignore @@ -3,4 +3,5 @@ *.egg-info **/__pycache__ -rust/target \ No newline at end of file +rust/target +rust/Cargo.lock \ No newline at end of file diff --git a/rust/Cargo.lock b/rust/Cargo.lock deleted file mode 100644 index 470b46a1..00000000 --- a/rust/Cargo.lock +++ /dev/null @@ -1,7 +0,0 @@ -# This file is automatically @generated by Cargo. -# It is not intended for manual editing. -version = 3 - -[[package]] -name = "lancedb" -version = "0.0.1" From e896a4fcdb28fcecded54e7e56263dc292a47df7 Mon Sep 17 00:00:00 2001 From: Jai Chopra Date: Wed, 22 Mar 2023 13:35:35 -0700 Subject: [PATCH 3/3] 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.