+
+
+
+LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies storage, retrieval and filtering for vectors and more.
+
+The key features of Lance 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.
+
+Lance's core is written in Rust 🦀 and is built using Lance, an open-source columnar format designed for performant ML workloads.
+
+## Quick Start
+
+**Installation**
+
+```shell
+pip install lancedb
+```
+
+**Quickstart**
+```python
+import lancedb
+
+db = lancedb.connect(uri)
+table = db.create_table("my_table",
+ data=[{"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
+ {"vector": [5.9, 26.5], "item": "bar", "price": 20.0}])
+result = table.search([100, 100]).where("price < 15").limit(1).to_df()
+```
+
+**Serverless, low-latency vector database for AI applications**
+
+Documentation •
+Blog •
+Discord •
+Twitter
+
+