Anush008/fastembed-js

Generate vector embeddings in NodeJS

Archived
38
/ 100
Emerging

Leverages ONNX Runtime for CPU inference with quantized model weights, and uses native Hugging Face tokenizer bindings for efficient preprocessing. Supports batch processing via async generators and offers distinct passage/query embedding methods for semantic search tasks. Includes multiple MTEB leaderboard models like BGE and multilingual E5 out of the box.

173 stars.

Archived No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 12 / 25

How are scores calculated?

Stars

173

Forks

15

Language

TypeScript

License

MIT

Category

vector-database-libraries

Last pushed

Dec 15, 2025

Commits (30d)

0

GitHub
Vector Database Libraries · 94 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/Anush008/fastembed-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.

61

curiosity-ai/catalyst

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's...

57

supabase/embeddings-generator

GitHub Action to generate embeddings from the markdown files in your repository.

56

vector-ai/vectorai

Vector AI — A platform for building vector based applications. Encode, query and analyse data...

54

wagtail/wagtail-vector-index

Store Wagtail pages & Django models as embeddings in vector databases

50

Explore Embedding Tools

All categories Trending Embeddings directory Insights