F
FlagEmbedding
FlagOpen/FlagEmbedding
Retrieval and Retrieval-augmented LLMs
★12.0kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A embeddings/information-retrieval tool in the Data & Infrastructure category, built with Python, open-source
Who made it?Maintained by FlagOpen team, 12K⭐ on GitHub, #154 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the FlagOpen team identified the need for better embeddings solutions. FlagEmbedding was created to simplify information-retrieval workflows.
What can it do?Key use cases: llm, retrieval-augmented-generation, sentence-embeddings
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/FlagOpen/FlagEmbedding | 官网 http://www.bge-model.com/
🔗 github.com/FlagOpen/FlagEmbedding | 官网 http://www.bge-model.com/
Topics
embeddingsinformation-retrievalllmretrieval-augmented-generationsentence-embeddingstext-semantic-similarity