carlos_marcial

4 ms·

1. 1.▲
   by carlos_marcial 11mo ago

   Yes, of course I used an LLM for the response, but not just any LLM. I used an instance of ChatRAG that has all the ChatRAG documentation built into it. I’m a solo developer trying to build software, do the marketing, handle customer suppor
2. 2.▲
   by carlos_marcial 11mo ago

   Great questions! Here's how ChatRAG handles context curation: 1. Intent Detection Per Message Every message is classified to decide the retrieval strategy: - conversational (greetings, small talk) → skip RAG entirely - document_s
3. 3.▲
   by carlos_marcial 11mo ago

   I built the tech stack behind ChatRAG to handle the increasing number of clients I started getting about a year ago who needed Retrieval Augmented Generation (RAG) powered chatbots. After a lot of trial and error, I settled on this tech sta
4. 4.▲
   Show HN: I made it fast and easy to launch your own RAG-powered AI chatbots(chatrag.ai)

   2 points by carlos_marcial 11mo ago|5 comments