Merge pull request #26 from VectorInstitute/update_fedrag

Update fedrag with paper link

Author: amrit110

catalog/public/data/papers.bib

@@ -33,3 +33,14 @@ @article{abedini2025masksql
   journal={arXiv preprint arXiv:2509.23459},
   year={2025}
 }
+
+@software{fajardo2025fedrag,
+  author = {Fajardo, Andrei and Emerson, David},
+  title = {{fed-rag: Open-source framework for fine-tuning RAG systems}},
+  year = {2025},
+  month = mar,
+  doi = {10.5281/zenodo.15092361},
+  url = {https://github.com/VectorInstitute/fed-rag},
+  version = {0.0.27},
+  license = {Apache-2.0}
+}

catalog/public/data/repositories.json

@@ -83,7 +83,7 @@
     {
       "name": "fed-rag",
       "repo_id": "fed-rag-repo",
-      "description": "A framework for fine-tuning retrieval-augmented generation (RAG) systems.",
+      "description": "An open-source framework for fine-tuning retrieval-augmented generation (RAG) systems across centralized and federated architectures with comprehensive support for state-of-the-art RAG fine-tuning methods.",
       "implementations": [
         {
           "name": "Basic fine-tuning with FL",
@@ -96,7 +96,9 @@
       ],
       "type": "tool",
       "year": 2025,
-      "github_url": "https://github.com/VectorInstitute/fed-rag"
+      "github_url": "https://github.com/VectorInstitute/fed-rag",
+      "paper_url": "https://doi.org/10.5281/zenodo.15092361",
+      "bibtex": "fajardo2025fedrag"
     },
     {
       "name": "interpretability",
@@ -920,5 +922,5 @@
   ],
   "totalImplementations": 121,
   "yearsOfResearch": 7,
-  "lastUpdated": "2025-11-25T12:01:22.017672"
+  "lastUpdated": "2025-11-25T12:24:55.191063"
 }

repositories/fed-rag.yaml

@@ -1,6 +1,6 @@
 name: fed-rag
 repo_id: fed-rag-repo
-description: "A framework for fine-tuning retrieval-augmented generation (RAG) systems."
+description: "An open-source framework for fine-tuning retrieval-augmented generation (RAG) systems across centralized and federated architectures with comprehensive support for state-of-the-art RAG fine-tuning methods."
 implementations:
   - name: Basic fine-tuning with FL
     url: null
@@ -9,3 +9,5 @@ implementations:
 type: tool
 year: 2025
 github_url: https://github.com/VectorInstitute/fed-rag
+paper_url: https://doi.org/10.5281/zenodo.15092361
+bibtex: fajardo2025fedrag