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update ecosystem in readme

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Jai Chopra
2023-05-07 08:17:02 -07:00
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commit ab0abbbfab
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README.md
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@@ -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.