Sherlock-Comms/wikipedia-en-2026-07-01-faiss
English Wikipedia FAISS Indexes (2026-07-01) Prebuilt FAISS indexes over the 17,473,199 Qwen3-Embedding-4B vectors, so you can query English Wikipedia locally without embedding or building anything. Companion repos: embeddings · passages. Files ivfpq.faiss — 1.33 GB, compressed. OPQ64,IVF16384,PQ64x8, inner product. ~64 bytes/vector. Best when RAM is tight; re-rank its hits against the raw vectors or a text reranker for full accuracy. hnsw_sq.faiss — 38 GB… See the full description on the dataset page: https://huggingface.co/datasets/Sherlock-Comms/wikipedia-en-2026-07-01-faiss.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face