Open Issues Need Help
View All on GitHub indexing: Build the document parser wrapper — 1 day 3 months ago
good first issue indexing
AromalBiju1/GRAFT AromalBiju1/GRAFT GRAFT (Gated Retrieval Activation Framework for Trees) is an adaptive, complexity-aware Retrieval-Augmented Generation system that grafts specialist reasoning modules onto a RAPTOR-style document tree, activating only the modules and retrieval depth each query actually needs.
Open project →
0
GRAFT (Gated Retrieval Activation Framework for Trees) is an adaptive, complexity-aware Retrieval-Augmented Generation system that grafts specialist reasoning modules onto a RAPTOR-style document tree, activating only the modules and retrieval depth each query actually needs.
Python
indexing: Collect + organize sample test documents 3 months ago
documentation good first issue
AromalBiju1/GRAFT AromalBiju1/GRAFT GRAFT (Gated Retrieval Activation Framework for Trees) is an adaptive, complexity-aware Retrieval-Augmented Generation system that grafts specialist reasoning modules onto a RAPTOR-style document tree, activating only the modules and retrieval depth each query actually needs.
Open project →
0
GRAFT (Gated Retrieval Activation Framework for Trees) is an adaptive, complexity-aware Retrieval-Augmented Generation system that grafts specialist reasoning modules onto a RAPTOR-style document tree, activating only the modules and retrieval depth each query actually needs.
Python