From ddd588866f74a0020c70dc7f11cde705bbe65c6f Mon Sep 17 00:00:00 2001 From: Vitali Avagyan Date: Sun, 1 Mar 2026 22:01:48 +0000 Subject: [PATCH] feat: add Code-Graph-RAG to Machine Learning software section Signed-off-by: Vitali Avagyan --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 17dfffb..9199958 100644 --- a/README.md +++ b/README.md @@ -361,6 +361,7 @@ A curated list of awesome research papers, datasets and software projects devote - [DeepSim](https://github.com/parasol-aser/deepsim) - a deep learning-based approach to measure code functional similarity. - [rnn-autocomplete](https://github.com/ZeRoGerc/rnn-autocomplete) - Neural code autocompletion with RNN (bachelor's thesis). - [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. +- [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. #### Utilities