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Vitali Avagyan
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feat: add Code-Graph-RAG to Machine Learning software section
Signed-off-by: Vitali Avagyan <vitali87@users.noreply.github.com>
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@@ -361,6 +361,7 @@ A curated list of awesome research papers, datasets and software projects devote
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- [DeepSim](https://github.com/parasol-aser/deepsim) - a deep learning-based approach to measure code functional similarity.
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- [rnn-autocomplete](https://github.com/ZeRoGerc/rnn-autocomplete) - Neural code autocompletion with RNN (bachelor's thesis).
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- [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an Explainable AutoML framework for developers. With MindsDB you can build, train and use state of the art ML models in as simple as one line of code.
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- [Code-Graph-RAG](https://github.com/vitali87/code-graph-rag) - Builds knowledge graphs from multi-language codebases using Tree-sitter AST parsing and Memgraph. Uses UniXcoder embeddings for semantic code search and enables natural language querying via an MCP server.
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#### Utilities
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