integrate My owened structured Noe4j knowledge graph with Lightrag framework

[alih234432]

I have structured a Neo4j knowledge graph that primarily contains numerical data. My goal is to connect this knowledge graph to a chatbot powered by an LLM like Gemini or ChatGPT, enabling it to analyze the data and provide recommendations. I'm considering using Lightrag for this purpose, but from what I've read, it seems more tailored for unstructured data such as text, articles, or books. Since my data is structured and I plan to use Cypher queries for analysis, I'm unsure if this is the right approach. Could you please advise if Lightrag is suitable for this use case, or if there's a better framework or method? I want to make sure I choose the right path from the beginning and avoid investing weeks of work in a direction that may not be ideal.

[rchengreat]

I used this approach and it works well! My neo4j instance contains both structured (numerical) data and unstructured data, with LLM as a chatbot, it worked very well with quite good accuracy rate. The approach is quite viable to me. Previously I used GraphRAG for embedding unstructured text and load to neo4j. I am currently trying with LightRAG because GraphRAG is too slow.