Home/Data & Retrieval/fastembed

fastembed

qdrant/fastembed

Fast, Accurate, Lightweight Python library for creating state-of-the-art embeddings

GraphCanon updated 1mo · GitHub synced 1mo

3.1k stars214 forksLast push 1mo Python Apache-2.0

Decision brief

Fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings.

Good fit when

When you need to generate high-quality embeddings quickly in Python.
For applications where the efficiency and speed of embedding generation are critical, yet high-quality embeddings are required.

Avoid when

If your project is not using Python, as Fastembed does not offer support for other programming languages directly.
In scenarios demanding heavy customization or fine-tuning at a lower level than what Fastembed provides out-of-the-box. Consider alternatives that may offer more flexibility.

Requirements:: Does not require Docker, making the setup straightforward for Python environments.

Observed Jul 12, 2026 · Source: enrich:decision_facts

fastembed alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of 1mo
Provenance: Not a fork · Organization account; As of 1mo
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Qdrant. Display-only - separate from trust and ranking.

Company: Qdrant·GitHub org profile·1mo
Funding: $28,000,000 (2024-01)·GraphCanon curated seed (public press)·1mo
Commercial model: Open core·GraphCanon curated seed·1mo

Install

pip install fastembed

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

text-embeddings-inference

Blazing fast inference solution for text embeddings models

Fast Open-Source Search & Clustering engine for Vectors & Arbitrary Objects

State-of-the-art evaluation of embeddings across languages and modalities

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A Python library focused on generating high-quality embeddings quickly and efficiently.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Jul 22, 2026

Categories

Data & Retrieval Vector Databases

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 22, 2026)

pip install fastembed

Tags

embeddings openai rag retrieval-augmented-generation vector-search

README

🚀 Installation

To install the FastEmbed library, pip works best. You can install it with or without GPU support:

pip install fastembed

For agents

This page has a .md twin and JSON over the API.

/tools/qdrant-fastembed.md GET /api/graphcanon/tools/qdrant-fastembed GET /api/graphcanon/graph?tool=qdrant-fastembed

Was this helpful?

Anonymous feedback helps us improve pages and translations.