DerwenAI / strwythura

How to construct knowledge graphs from unstructured data sources

Date Created 2024-07-31 (5 months ago)

Commits 18 (last one 3 months ago)

Stargazers 98 (0 this week)

Watchers 6 (0 this week)

Forks 10

License mit

Ranking

RepositoryStats indexes 601,131 repositories, of these DerwenAI/strwythura is ranked #300,267 (50th percentile) for total stargazers, and #301,924 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,395/17,763.

DerwenAI/strwythura is also tagged with popular topics, for these it's ranked: machine-learning (#4,836/8113), nlp (#1,482/2439), knowledge-graph (#230/390), named-entity-recognition (#158/222), vector-database (#119/199), relation-extraction (#77/112)

Other Information

DerwenAI/strwythura has Github issues enabled, there are 2 open issues and 1 closed issue.

Homepage URL: https://app.getcontrast.io/register/senzing-graph-rag-to-enhance-llm-applications

All Topics

nlp textgraphs entity-linking knowledge-graph vector-database machine-learning entity-resolution unstructured-data relation-extraction named-entity-recognition

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

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The primary language is Jupyter Notebook but there's also others...

updated: 2025-01-03 @ 06:34am, id: 836450061 / R_kgDOMds3DQ