Angshul/SparseGeometricRAG
SparseGeometricRAG CPU-first sparse geometric retrieval for practical top-10 RAG No transformer inference at retrieval time. No retrieval GPU requirement. No dense document-vector dot products. No external API. SparseGeometricRAG is a retrieval system built around one systems objective: make the retrieval layer cheap enough to run on ordinary multicore CPU hardware without turning the corpus into a dense embedding database. It uses sparse TF-IDF geometry, fuzzy… See the full description on the dataset page: https://huggingface.co/datasets/Angshul/SparseGeometricRAG.
0331
1# pytest cache directory #2 3This directory contains data from the pytest's cache plugin,4which provides the `--lf` and `--ff` options, as well as the `cache` fixture.5 6**Do not** commit this to version control.7 8See [the docs](https://docs.pytest.org/en/stable/how-to/cache.html) for more information.9