understanding graphRAG implementation

[GTimothee]

Hi,

I am trying to understand the graphRAG implementation in langchain, and something I can"t find is how do you manage node names that are similar at retrieval time ? For example here: https://github.com/run-llama/llama_index/blob/main/llama-index-core/llama_index/core/indices/property_graph/sub_retrievers/llm_synonym.py#L91 You generate synonyms and I just see a basic node search by name in the graph. So you expect one of the synonyms to perfectly match one given node name? What if the node names are composed like "Tomato sauce" and the synonym is like "tomato sauces" (plural? different case?).

Thank you for your help

[dosubot[bot]]

The llm_synonym.py file in the LlamaIndex repository addresses variations in node names, such as pluralization and case differences, by implementing normalization techniques. The LLMSynonymRetriever class generates synonyms using a language model and normalizes them by capitalizing the keywords to match the node names during retrieval. This helps in handling variations like capitalization and pluralization ^[1][2].

However, the current implementation may still rely on exact matches of synonyms to node names, which could lead to issues if the synonyms do not match perfectly. Additional logic, such as fuzzy matching techniques, might be needed to handle such variations more effectively.

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