eswar-7116/vector-db-demo
A minimal Node.js demo showcasing how to use ChromaDB as a local vector database. It stores a set of sample documents and performs a semantic search query using natural language. Perfect for understanding the basics of vector search and how embeddings can be used to find meaning-based matches in text.
This project helps you understand how to find documents based on what they mean, not just keywords. You put in a collection of text documents and a question in natural language, and it gives you the most relevant document based on the meaning of your question. This is for developers who are learning about semantic search and vector databases.
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Use this if you are a developer new to vector databases and want a simple, local example to see how semantic search works with text.
Not ideal if you need a production-ready application or a more complex demonstration with advanced features or different data types.
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11
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Language
JavaScript
License
MIT
Category
Last pushed
Jun 29, 2025
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