themaximalist/vectordb.js
Simple in-memory vector database for text similarity in Node.js
This tool helps Node.js developers implement text similarity features within their applications. It takes text strings (and optional associated data) as input and allows you to search for the most similar pieces of text. Developers building Node.js applications that require identifying related content, product recommendations, or semantic search capabilities would find this useful.
No commits in the last 6 months.
Use this if you are a Node.js developer needing a straightforward, in-memory solution for comparing the similarity of text strings within your application.
Not ideal if you need a persistent, standalone database or are not working within the Node.js ecosystem.
Stars
43
Forks
5
Language
HTML
License
MIT
Category
Last pushed
Jun 30, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/themaximalist/vectordb.js"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Azure/azure-search-vector-samples
A repository of code samples for Vector search capabilities in Azure AI Search.
curiosity-ai/catalyst
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's...
supabase/embeddings-generator
GitHub Action to generate embeddings from the markdown files in your repository.
vector-ai/vectorai
Vector AI — A platform for building vector based applications. Encode, query and analyse data...
wagtail/wagtail-vector-index
Store Wagtail pages & Django models as embeddings in vector databases