How is a Knowledge Agent different from a custom GPT?

While similar in concept, a docusrch Knowledge Agent is built for enterprise security. We offer Zero Data Retention (your data isn't used to train models), strict citation requirements (no hallucinations), and the ability to handle massive document volume that would crash a standard GPT.

Can I have multiple Agents for different departments?

Yes. In fact, this is the best practice. You should have a Sales Agent, an HR Agent, and a Technical Support Agent. This keeps data strictly segregated and ensures answers are highly relevant to the user's context.

Can an Agent generate reports, or just answer questions?

Both. Specialist agents answer questions via chat immediately. Workflow agents (custom features) can be built by our team to perform tasks, such as reading a set of documents and generating a summary report, a compliance audit, or a study guide.

What are AI Knowledge Agents? | docusrch

We have all used generic chatbots like ChatGPT. They are incredible at writing poems or coding in Python, but if you ask them, "What are the specific fence rules for the Briarwood HOA?" or "How do I troubleshoot our legacy server?", they fail.

Why? Because they lack context.

This is the rise of the AI Knowledge Agent.

Unlike a general chatbot that knows "a little about everything," a Knowledge Agent is a specialized tool trained exclusively on your verified documents to do a specific job.

This guide breaks down what Knowledge Agents are, the two ways they function in an enterprise (Conversational vs. Task-Based), and how they turn static documents into active employees.

What is a Knowledge Agent?

A Knowledge Agent is an AI interface that has been restricted (or "scoped") to a specific set of trusted documents.

Think of a standard AI as a brilliant intern who has read the entire internet but knows nothing about your company.

A Knowledge Agent is that same brilliant intern, but you have handed them a binder containing only your internal Company Wiki, or only your Property Management Covenants.

Because they are focused, they don't hallucinate. They don't guess. They answer based solely on the verified truth you provided.

The Two Types of Knowledge Agents

In the docusrch ecosystem, Knowledge Agents generally fall into two categories: The Specialist and The Workflow Engine.

1. The Specialist (Project-Based Agents)

This is the most common use case. You create a "Project" (e.g., Customer Support), upload your technical manuals or HOA Covenants, and the Agent immediately becomes a "Support Expert."

Role: Information Retrieval.
Example: A Property Management Agent containing 200 different HOA Covenants.
The User Asks: "What are the painting rules for 123 Main St?"
The Agent Answers: "According to the Briarwood Covenants (Page 14, Section 3), fences may only be painted white or beige, and work must be approved 30 days in advance."

2. The Workflow Engine (Custom Task Agents)

This goes beyond simple Q&A. These are custom-built Agents designed to perform a specific cognitive task.

Role: Synthesis and Creation.
Example: A "Compliance Review" Agent.
The Workflow: You upload a new marketing brochure. The Agent scans it against your uploaded "Regulatory Guidelines" and generates a report flagging every compliance risk found in the text.
Why it matters: This turns the AI from a "search bar" into a "worker" that saves hours of manual review.

Why "Scoped" Agents are Safer than "Global" Search

Many platforms try to build one giant "Enterprise Brain" that searches everything at once. This creates two problems:

Noise: If you search for "onboarding," you get results for Client Onboarding, Employee Onboarding, and Vendor Onboarding mixed together.
Security: You risk the AI summarizing sensitive executive strategy documents for a junior employee.

docusrch solves this with Project-Based Control. By creating distinct Agents (Projects), you ensure that the "Customer Support Agent" only knows about public-facing manuals and never sees the "Executive Meeting Minutes."

How to Deploy a Knowledge Agent

In docusrch, deploying a Specialist Agent is instant. There is no complex coding or prompt engineering required:

Create a Project: Name your agent (e.g., "Support Docs").
Upload Documents: Drag and drop your PDFs, Word docs, or wiki exports.
Chat: The agent is live immediately. Your team can start asking questions and getting cited answers.

The "Solution Accelerator" Model

While Specialist Agents work out of the box, Workflow Engine agents often require custom engineering.

This is where docusrch differs. We offer a "Solution Accelerator" model. We provide the core platform (The Specialist Agents) instantly. Then, for our partners, we build the "Last Mile" integrations to create the custom Workflow Agents specific to your business needs—whether that's generating meta-analysis reports or automating compliance checks.

Conclusion

The future of work isn't one giant AI that knows everything. It is a team of specialized, trusted Knowledge Agents that know your business inside and out.

Stop digging through folders. Start hiring Agents to do the digging for you.

What are AI Knowledge Agents?