qdrant/fastembed
Fast, Accurate, Lightweight Python library to make State of the Art Embedding. Why it matters: relevant for grounding LLMs in your own data.
GitHub description: Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Stars
3.2k
Last 24h
+3est.
Last 7 days
+19est.
Forks
275
Star history
GitHub stars over time. A steeper line means the repo is gaining attention faster.
Last 2 hours · +1 stars
* / est. Estimated: until we have enough daily snapshots for a repo, its gain is total stars ÷ days since creation. Measured numbers replace estimates automatically.
Discussed on Hacker News
Hacker News is a popular tech discussion site. 1 story links to this repo, with 2 upvotes (points) in total.
Fastembed – Lightweight Python Embedding Library2 points · 0 comments · Apr 28, 2026Maintainer? Add the badge to your README
Shows your live OSS Radar rank and links back here. Updates hourly.
[](https://ossradar.net/repo/qdrant/fastembed)<a href="https://ossradar.net/repo/qdrant/fastembed"><img src="https://ossradar.net/badge/qdrant/fastembed" alt="Trending on OSS Radar"></a>About fastembed
qdrant/fastembed is a Python project in the RAG / vector category, created 3 years ago. It has 3.2k GitHub stars and 275 forks, and gained +19 stars over the last 7 days (early estimate), ranking #9 of 10 RAG / vector repos tracked by OSS Radar this week.
See more trending RAG / vector repos or the top AI repos this week.
- Language
- Python
- Category
- RAG / vector
- Created
- Jul 14, 2023
- Last code push
- today (Oct 13, 2026)
- Latest release
- v0.9.0 6 days ago
Similar rising repos
- NirDiamant/RAG_Techniques+35est.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook… Why it matters: relevant for grounding LLMs in your own data.
- infiniflow/ragflow+28est.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior… Why it matters: relevant for grounding LLMs in your own data.
- HKUDS/DeepTutor+126est.
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/. Why it matters: relevant for grounding LLMs in your own data.
- Future-House/paper-qa+14est.
High accuracy RAG for answering questions from scientific documents with citations. Why it matters: relevant for grounding LLMs in your own data.
- Tencent/WeKnora+280est.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki. Why it matters: useful plumbing for shipping LLM-powered features.
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source. Why it matters: relevant for grounding LLMs in your own data.