kristofferkjeldby/

KjeldChat-1.1B-rag-index

The retrieval half of KjeldChat 1.1B: a prebuilt passage index over Wikipedia, so the model can answer from a retrieved passage instead of from a 1.1B model's thin parametric memory. Published so the Space can load it at startup, and so anyone running the model locally doesn't have to spend hours refetching and re-embedding it.

45,104 passages, embedded with all-MiniLM-L6-v2.

File Size What it is… See the full description on the dataset page: https://huggingface.co/datasets/kristofferkjeldby/KjeldChat-1.1B-rag-index.