rust/lancedb
1
0
Fork 0
mirror of https://github.com/lancedb/lancedb.git synced 2026-01-15 00:02:59 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #63 from lancedb/jaichopra/update-readme-ecosystem

Browse Source 
update ecosystem in readme
This commit is contained in:
Jai
2023-05-07 09:12:25 -07:00
committed by GitHub
parent 13c9a2e1c9 c4261b23e6
commit d12bc24091
2 changed files with 5 additions and 9 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@@ -6,7 +6,7 @@
**Developer-friendly, serverless vector database for AI applications**
<a href="https://lancedb.github.io/lancedb/">Documentation</a> •
<a href="https://blog.eto.ai/">Blog</a> •
<a href="https://blog.lancedb.com/">Blog</a> •
<a href="https://discord.gg/zMM32dvNtd">Discord</a> •
<a href="https://twitter.com/lancedb">Twitter</a>
@@ -21,15 +21,13 @@ The key features of LanceDB include:
* Production-scale vector search with no servers to manage.
* Optimized for multi-modal data (text, images, videos, point clouds and more).
* Store, query and filter vectors, metadata and multi-modal data (text, images, videos, point clouds, and more).
* Native Python and Javascript/Typescript support (coming soon).
* 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.
* Ecosystem integrations with [LangChain 🦜️🔗](https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lanecdb.html), [LlamaIndex 🦙](https://gpt-index.readthedocs.io/en/latest/examples/vector_stores/LanceDBIndexDemo.html), Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
LanceDB's core is written in Rust 🦀 and is built using <a href="https://github.com/eto-ai/lance">Lance</a>, an open-source columnar format designed for performant ML workloads.

6
docs/src/index.md
View File

@@ -6,15 +6,13 @@ The key features of LanceDB include:
* Production-scale vector search with no servers to manage.
* Optimized for multi-modal data (text, images, videos, point clouds and more).
* Store, query and filter vectors, metadata and multi-modal data (text, images, videos, point clouds, and more).
* Native Python and Javascript/Typescript support (coming soon).
* 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.
* Ecosystem integrations with [LangChain 🦜️🔗](https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lanecdb.html), [LlamaIndex 🦙](https://gpt-index.readthedocs.io/en/latest/examples/vector_stores/LanceDBIndexDemo.html), 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.