Azure-Search-Vector-Samples

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azure-search-vector-samples is an open-source repository providing code samples for vector search capabilities in Azure AI Search. It offers examples in Python, C#, REST, and JavaScript to help developers implement vector search.

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Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is azure-search-vector-samples?

azure-search-vector-samples is a comprehensive GitHub repository offering code samples for implementing vector search functionalities within Azure AI Search. It supports multiple programming languages including Python, C#, REST, and JavaScript, making it versatile for various development environments. The repository includes examples for data chunking, embedding text and image content, and querying using different frameworks. It also provides guidance on migrating between REST API versions and demonstrates advanced features like integrated vectorization, quantization, and storage options. This resource is invaluable for developers looking to leverage Azure AI Search for building intelligent search applications with vector capabilities.

Best used for

Ideal for developers who need to implement vector search in Azure AI Search, understand data chunking and embedding, and explore integrated vectorization. Especially valuable for those working with Python, C#, REST, or JavaScript to build intelligent search applications.

Common actions

implement vector search

learn Azure AI Search

integrate AI search

develop search applications

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Capabilities

Key features

Python code samples
C# code samples
REST API samples
JavaScript code samples
Data chunking examples
Text/image embedding
Integrated vectorization

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What programming languages are supported in the code samples?

The repository provides code samples in Python, C#, REST, and JavaScript. These samples cover various aspects of vector search, including data chunking, embedding content, and querying, making it accessible for developers using different tech stacks.

Does this repository include examples for integrated vectorization?

Yes, the repository features samples like DotNetIntegratedVectorizationDemo and demo-integrated-vectorization (Java) that demonstrate how to use Azure AI Search to create an index, indexer, data source, and skillset with integrated vectorization.

Are there samples for optimizing vector index size?

The QuantizationAndStorageOptions sample in .NET demonstrates how to use narrow data types and built-in scalar quantization to reduce the memory and disk footprint of vector indexes, as well as disabling storage of vectors in query responses.

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