NextGLab/FAISS-v2.0

Dataset Card for NextGLab FAISS-v2.0 The NextGLab FAISS-v2.0 dataset is a dense vector index designed for Retrieval-Augmented Generation (RAG) tasks. It is constructed by embedding text from: srsRAN Project: A complete 5G RAN solution featuring an ORAN-native CU/DU. O-RAN Alliance specifications Summary Total Documents: 88,808 Total Words: 7,236,372 Embedding Model: BAAI/bge-large-en-v1.5 Vector Store: FAISS (Facebook AI Similarity Search) Developed by: NextG… See the full description on the dataset page: https://huggingface.co/datasets/NextGLab/FAISS-v2.0.