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Comment by mattfrommars | Hacker News Reader

How is this different from RAG and Langchain? Sorry for the ignorant question, I recently understood what these concept mean in the scope of LLM.

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RAG is to enhance the generation capabilities of a language model by integrating external knowledge sources (DB, KB etc). This is done by retrieving relevant information from a knowledge base or document store and using it to inform or augment the model's responses.

Langchain is a library specifically designed to facilitate the development of applications using LLMs. It provides tools and utilities to build complex NLP pipelines with ease.

Alertfor is a SaaS product that combines LLMs with agents to provide automated search.

Does this answer your question ?

Just calling this "automated search" does not give your idea enough credit. This is a "LLM powered callback function" for the entire internet at the very least. Personally, I think it's brilliant. Please pursue this, because it has tremendous potential.

sure. I do not stop.

I have designed the product for consumers and professionals. Since it's a new kind of product (?), I'm unsure what to call it. The agents continuously search the web on behalf of the user and create a feed for each query. Let me think more . . .

I disagree lol. Who cares what he uses on the backend whether it’s llamaindex, langchain, etc. Do you discount a news outlet for using Postgres and Ruby because it’s not a novel stack? He’s selling a product with a clear intention.

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