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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

Hourly star count for qdrant/fastembed3,2433,242Oct 14, 1 AM UTCOct 14, 2 AM UTC

* / 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, 2026

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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
  • embeddings
  • openai
  • rag
  • retrieval
  • retrieval-augmented-generation
  • vector-search

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