GitHub topics: bge-m3
yuniko-software/bge-m3-qdrant-sample
A demonstration of hybrid search with reranking using Qdrant and BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results
Language: Jupyter Notebook - Size: 200 KB - Last synced at: about 12 hours ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 0
YeonwooSung/nano-embeddings
The simplest, fastest repository for training/finetuning mini size embedding models like BGE and ModernBERT
Language: Python - Size: 12.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
neuterlee/buscador_narrador
Herramientas para procesar datos de desaparecidos: anonimización de narrativas con IA. Búsqueda semántica de casos similares mediante embeddings de texto (BGE-M3).
Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
husaynirfan1/AlbAI
News companion powered by LLM.
Language: Python - Size: 13.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
anindyamitra2002/Adaptive-RAG
Adaptive RAG (Web search + Corrective RAG) is an upgraded model of Agentic RAG
Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
yucl80/local-openai-api-service
LLM API Server , OpenAI 同时支持 ChatGLM3 ，Llama, Llama-3, Firefunction, Openfunctions ，BAAI/bge-m3 ,bge-large-zh-v1.5
Language: Python - Size: 83 KB - Last synced at: 5 days ago - Pushed at: 8 months ago - Stars: 7 - Forks: 1
EliasK93/BGE-M3-and-Gemma-2-for-retrieval-augmented-generation
Example application for using the BGE-M3 embedding model and Google's Gemma-2-9B-Instruct generation model in a LangChain-based RAG pipeline to answer Lord of the Rings trivia questions
Language: Python - Size: 30.3 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
