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| author | LuyaoZhuang <zhuangluyao523@gmail.com> | 2025-11-15 02:05:06 -0500 |
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| committer | LuyaoZhuang <zhuangluyao523@gmail.com> | 2025-11-15 02:05:06 -0500 |
| commit | fd0934b78f53984c96f3dc1061fa73a0f3d44421 (patch) | |
| tree | ce248eeee56a94b025c6dd98b181fdb64c20ca09 /readme.md | |
| parent | 4e8a7aad8be90d7e37f29ecd4b174ac9c07523bf (diff) | |
| parent | bfffa9c1ce989d4d339c3aae43084647a1cc2d79 (diff) | |
Merge branch 'main' of https://github.com/DEEP-PolyU/LinearRAG
Diffstat (limited to 'readme.md')
| -rw-r--r-- | readme.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -17,8 +17,8 @@ --- ## 🚀 **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. +- ✅ **Context-Preserving**: Relation-free graph construction, 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 explicit relational graphs. - ✅ **High Scalability**: Zero LLM token consumption, faster processing speed, and linear time/space complexity. <p align="center"> @@ -29,7 +29,7 @@ ## 🎉 **News** - **[2025-10-27]** We release **[LinearRAG](https://github.com/DEEP-PolyU/LinearRAG)**, a relation-free graph construction method for efficient GraphRAG. - **[2025-06-06]** We release **[GraphRAG-Bench](https://github.com/GraphRAG-Bench/GraphRAG-Benchmark.git)**, the benchmark for evaluating GraphRAG models. -- **[2025-01-21]** We release the [GraphRAG survey](https://github.com/DEEP-PolyU/Awesome-GraphRAG). +- **[2025-01-21]** We release the **[GraphRAG survey](https://github.com/DEEP-PolyU/Awesome-GraphRAG)**. --- |