🔍 Vector Similarity Search Demo

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A simple visualization:

A minimal project to understand how cosine similarity works in a vector database 🧠📊.
It demonstrates semantic search by converting text into embeddings and comparing them using vector math.

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🧰 Tech Stack

• ⚙️ Node.js + TypeScript
• 🧾 Custom in-memory vector store
• 📐 Cosine similarity algorithm

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💡 What You’ll Learn

• 🔤 How text embeddings are used in vector search
• 📏 How cosine similarity compares semantic meaning
• 🎯 Filtering using topK and threshold parameters
• ⚡ Real-world basics of how vector DBs like Pinecone, Weaviate, or FAISS work

License

MIT License