FlagOpen/FlagEmbedding
FlagEmbedding
Retrieval and Retrieval-augmented LLMs
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FlagOpen
FlagOpen • individual
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Created
Aug 2, 2023
Project creation date
README Summary
FlagEmbedding provides state-of-the-art text embedding models and retrieval systems for building retrieval-augmented generation (RAG) applications. It offers pre-trained models, fine-tuning capabilities, and tools for semantic search and document retrieval that can be integrated into LLM workflows.
AI Dev Skills
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Retrieval-Augmented GenerationText Embedding ModelsSemantic SearchDense RetrievalVector Similarity SearchInformation RetrievalTransformer Fine-tuningCross-encoder RerankingMulti-language EmbeddingsBERT-based Architectures
Tags
Retrieval-Augmented GenerationText Embedding ModelsSemantic SearchDense RetrievalVector Similarity SearchInformation RetrievalTransformer Fine-tuningCross-encoder RerankingMulti-language EmbeddingsBERT-based Architectures
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AI Trends
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Recent Activity
Updated 17 days ago
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Quality
production- Quality
- high
- Maturity
- production
Categories
Evals & BenchmarkingPrimaryDev Tools & AutomationFoundation ModelsRAG & RetrievalSearch & KnowledgeModel TrainingRobotics
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Developer Platform
Languages
Python100.0%
Timeline
- Project created
- Aug 2, 2023
- Forked
- Mar 29, 2026
- Your last push
- 17 days ago
- Upstream last push
- 12 days ago
- Tracked since
- Mar 27, 2026
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