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FastEmbed

Qdrant's fast on-device embedding library.

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About

FastEmbed (qdrant/fastembed, Apache-2.0, ~3.2k stars) is Qdrant's lightweight embedding library: state-of-the-art embeddings running on-device (CPU-friendly) with a tiny footprint.

The 'embeddings without the GPU bill' option — great for RAG pipelines that need speed and simplicity.

What it can do

  • On-device embeddings
  • CPU-friendly
  • Tiny footprint
  • Qdrant-native
  • Apache-2.0

Setup

  1. pip install fastembed.
  2. Embed text with a few lines of Python.
  3. Pair with Qdrant (or any vector store).

Prerequisites

Python.

Use cases

datacode

Works with

Generic APIAny agent (.md)

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier). Apache-2.0, maintained by Qdrant, genuinely useful — but smaller adoption (~3.2k stars). Metrics tier.

★ 3,242 GitHub stars

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
6.8/10
Maintenance · recency, releases, issue load
7.6/10
Openness · license + docs
9.4/10
Manual review · sanity read + red-flag check
7.0/10
  • · 3,242 GitHub stars (log-scaled vs catalog peers)
  • · last push 1d ago; 4 releases/12mo; 96 open issues
  • · manual review: Qdrant's FastEmbed — fast on-device embeddings; smaller adoption; license: Apache-2.0

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.