This repository contains code samples for working with Azure DocumentDB, including AI-powered vector search implementations across multiple programming languages.
Explore vector similarity search with Azure DocumentDB using different algorithms (IVF, HNSW, and DiskANN) and Azure OpenAI embeddings:
- .NET - Vector search sample using .NET 8.0
- Python - Vector search implementation in Python
- Go - Vector search examples using Go
- TypeScript - Vector search with TypeScript/Node.js
Each sample demonstrates how to generate embeddings, create vector indexes, and perform semantic similarity searches with hotel data.
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