Built an AI support agent that actually doesn't hallucinate (and knows when to call a human).

by

​Hey hunters! 👋

​For the past few weeks, I’ve been heavily focused on solving a massive problem in the B2B SaaS space: AI customer support bots that hallucinate, give generic answers, and frustrate users because there's no way to reach a real human.

​Tomorrow, I'm launching EmbedRAG to fix this.

​I wanted to move past standard "naive RAG" wrappers, so I engineered this with a few specific constraints:

​Zero Hallucinations: Implemented a Hybrid RAG pipeline (Vector + BM25 keyword search) paired with Cohere Cross-Encoder Reranking. It only speaks facts based on uploaded business data.

​Agentic Action: Powered by LangGraph, so it actually executes workflows rather than just generating text.

​The Safety Net (Live Handoff): Built a WebSocket integration so human admins can monitor the inbox and seamlessly take over the chat in real-time when a user needs empathy.

​We go live tomorrow at 12:01 AM PDT!

​Before the launch, I’d love to hear from the community: What is your biggest frustration with the current AI chatbots on websites you visit? I want to make sure EmbedRAG solves it!

​Looking forward to sharing it with you all tomorrow. Drop your thoughts below! 👇

7 views

Add a comment

Replies

Be the first to comment