OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
AI Developer Tools & SDKs

LanceDB C# SDK

LanceDB C# SDK is a C# library that connects applications to LanceDB and exposes asynchronous APIs for database connections, table and row operations, indexing, and vector, full-text and hybrid search. It wraps LanceDB’s Rust crate through P/Invoke.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

LanceDB C# SDK — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a C# application needs LanceDB connections and database operations through C# async APIs, including embedding retrieval or combined vector and text search.

Who it is for

  • C# developers integrating LanceDB into application data-access layers.
  • Machine-learning developers who need a vector database backend in a C# application.

Documented uses

  • Connect a C# application to a local or cloud LanceDB database.
  • Create, open and maintain tables and rows, including schema changes.
  • Index vector or text fields and retrieve records with vector, full-text or hybrid search.
  • Stream query results in batches or access selected rows directly.
Before you choose

Requirements & limits

The README documents a NuGet package with prebuilt native libraries for Linux x64, Windows x64 and macOS arm64, and lists .NET 8.0+ and .NET Standard 2.0. It says the package path does not require a Rust toolchain. Source builds require .NET 10.0 SDK or later and Rust 1.93.1. The public repository specifies an Apache-2.0 license.

  • The SDK crosses a P/Invoke boundary to a native Rust library.
  • The NuGet package’s listed platform and runtime support is narrower than an unspecified all-platform target.
  • The SDK accepts Apache Arrow data in the documented table-creation and insertion example.
  • The API includes vector, full-text and hybrid search, with filtering, reranking and streaming options.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Create a local vector table and query it

Use the README’s example stages to connect to a local database, create a vector table, add data, build an index and issue a nearest-neighbor query.

Before you start

  • The LanceDB C# SDK and its Apache Arrow types.
  • A local LanceDB path, a schema and an Apache Arrow RecordBatch to add.
  • A query vector.

Steps

  1. Create a Connection and connect it to a local database path.

  2. Define an Arrow schema with a vector field and create a table using that schema.

  3. Add an Arrow RecordBatch and create an index on the vector field.

  4. Build a query with NearestTo, optionally add a limit and filter, then materialize the results with ToList.

Expected outcome

A C# application can retrieve nearest-neighbor results from a local LanceDB table.

Guide limitations

  • The README’s example uses batch and queryVector as input values; it does not show how to produce them.
  • This recipe covers a local database example, not cloud connection configuration.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
lennylxx/lancedb-csharp · Official homepage title · retained in its source language
How we review sourcesSuggest a correction