servo/awesome-deepseek
1
0
Fork 0
mirror of https://github.com/deepseek-ai/awesome-deepseek-integration.git synced 2025-09-22 11:26:59 -04:00
Code Issues Projects Releases Packages Wiki Activity Actions

Add Youtu-GraphRAG in RAG section.md

Browse source
This commit is contained in:
Junnan Dong 2025-09-16 15:14:09 +08:00 • committed by GitHub
parent c41715d574
commit 0df4966407
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 1 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

2
README.md
View file

@ -571,7 +571,7 @@ The purpose is to build infrastructure in the field of large models, through the
<tr> <tr>
<td width="80"> <img src="https://raw.githubusercontent.com/TencentCloudADP/youtu-graphrag/refs/heads/main/assets/logo.png" alt="Youtu-GraphRAG icon" width="64" height="auto"/> </td> <td width="80"> <img src="https://raw.githubusercontent.com/TencentCloudADP/youtu-graphrag/refs/heads/main/assets/logo.png" alt="Youtu-GraphRAG icon" width="64" height="auto"/> </td>
<td> <a href="https://github.com/TencentCloudADP/Youtu-GraphRAG"> Youtu-GraphRAG </a> </td> <td> <a href="https://github.com/TencentCloudADP/Youtu-GraphRAG"> Youtu-GraphRAG </a> </td>
<td>Youtu-GraphRAG proposes a new graph retrieval-augmented generation paradigm which vertically unifies construction, indexing and retrieval through schema. It advances GraphRAG towards enterprise-level applications， allowing seamless cross-domain adaptation with minimum human intervention, with (i) a dynamic schema-bounded extraction; (ii) a comprehensive community detection algorithm and (iii) a schema-guided query decomposition for iterative reflection and reasoning.</td> <td>Youtu-GraphRAG proposes a novel graph retrieval-augmented generation paradigm which vertically unifies construction, indexing and retrieval through schema. It advances GraphRAG towards enterprise-level applications, allowing seamless cross-domain adaptation with minimum human intervention, with (i) a dynamic schema-bounded extraction; (ii) a comprehensive community detection algorithm and (iii) a schema-guided query decomposition for iterative reflection and reasoning.</td>
</tr> </tr>
</table> </table>