FastEmbed
A lightweight Python library by Qdrant for fast embedding generation using ONNX Runtime. FastEmbed doesn't require GPU, avoids heavy PyTorch dependencies, and is optimized for serverless deployments like AWS Lambda.
About this tool
Overview
FastEmbed is Qdrant's lightweight Python library for generating embeddings efficiently without GPU requirements or heavy dependencies.
Key Features
Lightweight: Few external dependencies, no PyTorch (uses ONNX Runtime)
Fast: Faster than PyTorch for inference
Accurate: Better than OpenAI Ada-002 with Flag Embedding
Serverless-Friendly: Small footprint ideal for AWS Lambda
Embedding Types
- TextEmbedding: Standard text embeddings
- LateInteractionTextEmbedding: ColBERT-style embeddings
- ImageEmbedding: Image embeddings
- LateInteractionMultimodalEmbedding: Multimodal applications
Installation
pip install fastembed
# With GPU support
pip install fastembed-gpu
Use Cases
- Serverless embedding generation
- Edge deployments
- Resource-constrained environments
- High-throughput embedding pipelines
- Integration with Qdrant vector database
Availability
Open-source on GitHub: qdrant/fastembed
Supports LangChain integration
Surveys
Loading more......
Information
Websitegithub.com
PublishedMar 20, 2026
Categories
Tags
Similar Products
6 result(s)