Fast, Accurate, Lightweight Python library to make State of the Art Embedding
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+81
STARS · LAST 30 DAYS
3
PER DAY
#357
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +81 | +270 |
| Per day | 3 | 3 | 3 |
| Forks gained | +1 | +5 | +13 |
fastembed gained 81 stars in the last 30 days, about 3 a day, and now has 3.2K. It is about 3 years old and has averaged roughly 1.1K stars a year. It ranks #357 among Python repositories and #2,447 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#3599
BEST RANK
Oct 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
fastembed has maintained a continuous presence across global trending indexes, peaking at #3599. Below is the 30-day activity profile:
💡 Overview
fastembed is an open-source project written in Python: Fast, Accurate, Lightweight Python library to make State of the Art Embedding.
Engineered for speed, consistency, and developer ease, it solves common hurdles in embeddings, openai, rag. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install fastembed⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
fastembed coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with fastembed.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install fastembed using your package manager: `pip install fastembed`
Initialize your project workspace or configuration file for fastembed.
Import fastembed into your codebase or invoke it directly from your terminal.
Execute your test suite or run `fastembed --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
qdrant/fastembed is currently ranked #2,447 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #2,442 | google/brax | Jupyter Notebook | ★ 3.2K | Compare ↗ |
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| #2,446 | apache/gravitino | Java | ★ 3.2K | Compare ↗ |
| #2,447 | qdrant/fastembed This Project | Python | ★ 3.2K | |
| #2,448 | thoughtbot/high_voltage | Ruby | ★ 3.2K | Compare ↗ |
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Frequently Asked Questions
What does fastembed do? +
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
What language is fastembed written in? +
The primary language is Python. Topics include: embeddings, openai, rag, retrieval, retrieval-augmented-generation.
Is fastembed actively maintained? +
Yes, the last recorded push was on Oct 3, 2026 with 92 open issues being tracked.
How many stars does fastembed have? +
fastembed has 3,234 stars and 262 forks on GitHub.
How does fastembed rank among GitHub repositories? +
With 3,234 stars, qdrant/fastembed is ranked #2,447 globally across all repositories tracked on GitHubRepo and #357 among Python projects.
What license is fastembed distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
