From b6477ff3b965734920245bf435caa59734d33ed0 Mon Sep 17 00:00:00 2001 From: Arunesh Singh Date: Fri, 12 Jan 2024 02:05:19 +0530 Subject: [PATCH] fix: kge link --- .gitignore | 3 ++- docs/use_cases/knowledge_graph_embedding.md | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index d558a0306..1125fb329 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,3 @@ venv/ -.env \ No newline at end of file +.env +.DS_Store diff --git a/docs/use_cases/knowledge_graph_embedding.md b/docs/use_cases/knowledge_graph_embedding.md index 20b788b35..c1a541c17 100644 --- a/docs/use_cases/knowledge_graph_embedding.md +++ b/docs/use_cases/knowledge_graph_embedding.md @@ -192,7 +192,7 @@ Moreover, these five professions are all closely related to the film industry, s In sum, the model's performance in this scenario demonstrates its potential for **understanding concepts**, **interpreting context**, and **extracting semantic meaning**. -Here is the [complete code for this demo](../assets/use_cases/knowledge_graph_embedding/kge_demo.ipynb). +Here is the [complete code for this demo](https://github.com/superlinked/VectorHub/blob/main/docs/assets/use_cases/knowledge_graph_embedding/kge_demo.ipynb). ## Comparing KGE with LLM performance on a large Knowledge Graph