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| author | Shengyuan Chen <91341745+chensyCN@users.noreply.github.com> | 2025-10-27 17:47:37 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2025-10-27 17:47:37 +0800 |
| commit | 23c6267214117924737de2b91b8c81c1d09e7e7f (patch) | |
| tree | 80b059e91691b1cf0c6e73053fc98ff79eee7b0d | |
| parent | 4e35cd193e340c909843065a5dbfd963ae2f9df6 (diff) | |
update
Corrected phrasing for clarity regarding relational graphs.
| -rw-r--r-- | readme.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -18,7 +18,7 @@ ## 🚀 **Highlights** - ✅ **Context-Preserving**: A relation-free graph construction paradigm, relying on lightweight entity recognition and semantic linking to achieve comprehensive contextual comprehension. -- ✅ **Complex Reasoning**: Enables deep retrieval via semantic bridging, achieving multi-hop reasoning in a single retrieval pass without requiring an explicit relational graph. +- ✅ **Complex Reasoning**: Enables deep retrieval via semantic bridging, achieving multi-hop reasoning in a single retrieval pass without requiring explicit relational graphs. - ✅ **High Scalability**: Zero LLM token consumption, faster processing speed, and linear time/space complexity. <p align="center"> |