TilmanLudewigtHaufe / GraphAugmented-Legal-RAG

Create a knowledge graph out of unstructed legal text - use said knowledge graph in a graph augmented retrieval augmented generation pipeline

Date Created 2024-01-12 (11 months ago)

Commits 32 (last one 2 months ago)

Stargazers 28 (0 this week)

Watchers 3 (0 this week)

Forks 4

License unknown

Ranking

RepositoryStats indexes 594,982 repositories, of these TilmanLudewigtHaufe/GraphAugmented-Legal-RAG is ranked #577,070 (3rd percentile) for total stargazers, and #427,147 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #114,944/119,114.

TilmanLudewigtHaufe/GraphAugmented-Legal-RAG is also tagged with popular topics, for these it's ranked: machine-learning (#7,892/8051), artificial-intelligence (#2,051/2107), graph (#907/920), rag (#493/526), knowledge-graph (#379/385), retrieval-augmented-generation (#173/187)

Other Information

TilmanLudewigtHaufe/GraphAugmented-Legal-RAG has Github issues enabled, there are 10 open issues and 0 closed issues.

All Topics

rag graph legal legaltech knowledge-graph machine-learning artificial-intelligence retrieval-augmented-generation

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32 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-11 @ 07:13pm, id: 742376681 / R_kgDOLD_E6Q