FastEmbed
Lightweight ONNX-based embedding library by Qdrant — runs on CPU with no PyTorch dependency, designed for fast batch inference in production RAG pipelines.
73
Hero Score
Popularity
68
Performance
100
Ecosystem
50
Maturity
61
Dev Experience
85
⭐ 2,999 stars⬇ 2.0M downloads/wkFirst release: Jul 2023Last release: Mar 2026
Async Support: YesPlugin Extensions: MediumSpeed: Very fastDoc Quality: HighLearning Curve: Easy
Pros
- • ONNX runtime delivers fast CPU inference without PyTorch — small Docker images and quick cold starts
- • Ships with curated quantized models (dense, sparse, ColBERT-style) ready out of the box
- • Tight integration with Qdrant for end-to-end RAG pipelines
Cons
- • Smaller model catalog than sentence-transformers — limited to curated ONNX-converted set
- • Less flexible for custom fine-tuning workflows
- • First-party JS sister exists but Python remains the canonical implementation