Samples Gallery

Explore ready-to-run code samples that show how to build real-world applications with DocumentDB

3 samples

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TypeScript

AI/ML

Intermediate

Hotel Recommendation Agent: RAG with Native Vector Search and LLM Synthesizer in TypeScript

A TypeScript app that uses DocumentDB OSS native vector search to retrieve semantically similar hotels from a natural-language query, then passes the results to a LlamaIndex synthesizer agent (llama3.2 via Ollama) to generate a concise, comparative recommendation. Runs entirely on open-source tools with no cloud accounts required.

Vector SearchAI AgentLlamaIndexOllamaEmbeddingsRAGDocumentDB OSSOpen Source
View on GitHub
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Node.js

AI/ML

Intermediate

BookFinder: AI-Powered Semantic Book Discovery

A Node.js/Express app that uses OpenAI embeddings and DocumentDB vector search to let users discover books through natural language queries like 'dystopian future with rebellion'.

Vector SearchOpenAIEmbeddingsExpressSemantic Search
View on GitHub
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Node.js

Retail

Beginner

Retail Product Store: Full-Stack Product Catalog with DocumentDB

A Node.js/Express app backed by DocumentDB that serves a responsive retail storefront with product browsing, category filtering, sort, and keyword search. Products are stored in DocumentDB and served via a REST API, with a vanilla JS frontend.

ExpressREST APIDocumentDB OSSVanilla JSFull Stack
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