Anush008/fastembed-js
Generate vector embeddings in NodeJS
ArchivedLeverages 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.
Stars
173
Forks
15
Language
TypeScript
License
MIT
Category
Last pushed
Dec 15, 2025
Commits (30d)
0
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
curiosity-ai/catalyst
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's...
Azure/azure-search-vector-samples
A repository of code samples for Vector search capabilities in Azure AI Search.
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...
yusufhilmi/client-vector-search
A client side vector search library that can embed, store, search, and cache vectors. Works on...