Hey guys, I’m using Netsuite’s LLM module. I’ve currently built a chatbot for historical item prices, and right now I use a saved search with the transactions that need to be reviewed, and I send that to AI n/llm module so it has context and can respond. My question is whether I can add more value to this chat by maybe, instead of using a saved search as context, providing all of the client’s environment information as context so it can handle any type of request. Do you think that’s possible with the n/llm module? Or what approaches would you recommend?

You could probably add more valuable info or use the MCP NetSuite Connector Service with Claude unless you need it in NetSuite.

You can provide more context either through RAG by providing source documents, or use Embeddings to convert your text to a vector and use it in SuiteScript for use cases such as semantic searches, recommender systems, text classification, or text clustering.

We can help you with that: www.cauzzy.ai