Package · PyPI
PyPI · v2.0.0a2 · Licence not reported
A powerful graph-based RAG framework that enables LLMs to identify and leverage connections within new knowledge for improved retrieval.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install hipporag-nyabotPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personalized PageRank.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
==1.0.2==3.4.2==1.78.1==2.10.4==0.11.8==9.1.2==0.9.0==2.6.0==4.51.3==0.8.5.post1No published news event mentions this package or its repository yet.