Library/fastembed
Library/fastembedForked

qdrant/fastembed

fastembed

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Builder

Qdrant

Qdrant

qdrant • startup

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2,820

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Forks

191

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0/100

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Created

Jul 14, 2023

Project creation date

README Summary

FastEmbed is a lightweight Python library that provides fast and accurate text embeddings using state-of-the-art models. It offers easy-to-use APIs for generating embeddings with optimized performance for production use cases. The library supports multiple embedding models and is designed to be memory efficient while maintaining high accuracy.

AI Dev Skills

Unmapped

Text EmbeddingsVector RepresentationsSemantic SearchInformation RetrievalNatural Language ProcessingModel OptimizationONNX Runtime Optimization

Tags

Text EmbeddingsVector RepresentationsSemantic SearchInformation RetrievalNatural Language ProcessingModel OptimizationONNX Runtime OptimizationEfficient AI InfrastructureRecommendation SystemsVector DatabasesTransformer ModelsDeveloper ToolsQuestion Answering SystemsRetrieval-Augmented GenerationONNX Model OptimizationKnowledge ManagementText ClassificationEdge/MobileContent ManagementOn-premiseSelf-hostedLegal TechTextOn-device AISparse Vector RepresentationsContent DeduplicationDocument SimilarityE-commerceSearch TechnologyDense Vector RepresentationsCloud APIPython

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Recent Activity

Updated 1 months ago

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90 Days

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Quality

beta
Quality
medium
Maturity
beta

Categories

Foundation ModelsPrimaryRAG & RetrievalDev Tools & AutomationEvals & BenchmarkingInference & ServingNLP & TextML Platform & InfrastructureFinance & LegalEdge & Mobile AISearch & KnowledgeOther AI / ML

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Developer Platform

Languages

Python100.0%

Timeline

Project created
Jul 14, 2023
Forked
Mar 13, 2026
Your last push
1 months ago
Upstream last push
14 days ago
Tracked since
Mar 12, 2026

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