The biggest fear companies have when deploying AI support agents is simple: Hallucinations.
What happens if the AI confidently tells a customer the wrong refund policy? What if it hallucinated a feature that doesn't exist? With traditional chatbots, this is a massive liability. With Suba360, it’s a solved problem.
We built our Hardened Retrieval System from the ground up to completely eliminate these risks.
How It Works: The RAG Pipeline
Suba360 doesn't just pass your user's question to a raw language model. Instead, we use an advanced architecture known as Retrieval-Augmented Generation (RAG).
When a user asks a question, Suba360 performs the following split-second operation:
- Query Embedding: Converts the user's question into a mathematical vector.
- Semantic Search: Scans your isolated Vector DB to find the exact sentences, paragraphs, and API docs relevant to the user's intent.
- Context Injection: Bundles these highly specific, retrieved facts and injects them into the reasoning prompt.
- Constrained Generation: Instructs the LLM to only answer using the injected context.
If the answer is not found in your documentation, the agent is hardcoded to admit it doesn't know and immediately seamlessly escalate the ticket to a human agent. No guessing.
Enterprise-Grade Isolation
Your data is your data. When you upload your help center articles, API docs, or sync your GitHub repositories, those documents are explicitly chunked and stored in a walled-off vector database dedicated solely to your tenant.
Suba360's reasoning engine does not train on your private data, nor does it mix your context with other companies.
Visualizing the Logic
We believe in complete transparency. Inside your Dashboard, you don't just see what the agent replied—you see why it replied that way.
Every single message processed by Suba360 comes with a Trace Log. You can click on any response and see exactly which chunks of text from your documentation the Hardened Retrieval System pulled in to formulate that specific answer.
The Benefit to You
You get the conversational fluidity of the world's best LLMs, tightly constrained by the factual accuracy of your own databases. You unlock 65%+ ticket deflection without ever worrying about a rogue bot quoting the wrong pricing tier.
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