Pika4028/low-resource-rag-indexes

Low-Resource RAG: Wikipedia FAISS Indexes (BGE-M3) FAISS indexes over Wikipedia 2023 passages for four languages, embedded with BAAI/bge-m3. Source corpus: CohereLabs/wikipedia-2023-11-embed-multilingual-v3. Each language folder has two files aligned row-by-row: index.faiss — FAISS IndexFlatIP, dim=1024, L2-normalized BGE-M3 vectors dataset/ — Arrow dataset with _id, title, text per passage Languages Language Code Passages Size Hindi hi TBD 2.6G… See the full description on the dataset page: https://huggingface.co/datasets/Pika4028/low-resource-rag-indexes.