feat: KGRag - Knowledge Graph-Enhanced RAG with Mellea#39

Draft

ydzhu98 wants to merge 36 commits intogenerative-computing:mainfrom

ydzhu98:yzhu/missing_components

Commits on Mar 16, 2026

add kgrag layer 4
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fix some formatting issue
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Layer 3 of knowledge graph
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layer 2 of the project
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layer 1 of kgrag
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Fill in the most important functions of KGRag
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Fill in the core missing functions
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Finished the less important functions
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Adding testing files
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Fix issues found in the testing
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Implement Phase 2: 8 runnable scripts for KG-RAG pipeline
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Extract common functions from the scripts
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Add test function for the utility files
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Add the final run.sh script so that one can call it directly.
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Add two read me files for the library and the example
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fix the issue so that run.sh is runable. However further update are expected
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Rewrite preprocessing and embedding scripts for mellea-style pipeline
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Enhance run_kg_update.py to match mellea's architecture and functionality
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Add comprehensive KG-RAG pipeline architecture documentation
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Add run_kg_update.py as Step 3 to run.sh pipeline
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Enable run_kg_update.py to load LLM/Neo4j config from .env file
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Fix run_kg_update.py to properly use RITS model from environment
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Update KG-RAG example README with three-stage pipeline documentation
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Remove large data files from git tracking (keep locally)
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Add dataset directory documentation for large data files
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update the run.sh for step 0
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Fix the run_kg_update and run_qa
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fix the run_eval.py and readme
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remove some intermediate files
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remove the data from git
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Commits on Mar 18, 2026

Refactor the scripts to better utilize the library
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Address some of the issue from comments
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Additional changes found during review
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Address additional issues of the comments from the PR
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Fix the embeder after refactoring
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Update embedder
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