Build a Knowledge Base AI Agent in Under 10 Minutes
Connect your documents, wikis, and SOPs to an AI agent that answers questions instantly, surfaces institutional knowledge, and eliminates repetitive support tickets — all without writing a single line of code.
Why It Matters
Knowledge trapped in documents, wikis, and chat threads costs organizations thousands of hours every year. A Knowledge Base AI Agent transforms your static content into a living, queryable intelligence layer — delivering accurate answers in seconds, at any scale, around the clock.
Connects to Your Entire Knowledge Stack
Architect integrates with the tools where your knowledge already lives — no migration needed.
Platform Capabilities
Architect gives you everything you need to build, deploy, and maintain a production-grade Knowledge Base AI Agent.
RAG-Powered Retrieval
Built on retrieval-augmented generation, the agent fetches the most relevant document chunks from your sources before generating a grounded, cited response — minimizing hallucinations.
Multi-Source Document Ingestion
Ingest PDFs, DOCX, Markdown, CSVs, HTML pages, and live wiki content from Confluence, Notion, Google Drive, and SharePoint in a single unified pipeline.
Omnichannel Deployment
Deploy the agent on your website, Slack workspace, Microsoft Teams channel, or any REST-compatible surface — with one-click publish from the Architect builder.
Role-Based Access & Privacy Controls
Define which content the agent can access based on user roles, department, or permission level — ensuring sensitive data is never surfaced to unauthorized users.
Real-Time Observability
Monitor every query, retrieval step, and answer quality score in the Architect dashboard. Identify knowledge gaps and improve agent accuracy continuously.
No-Code Agent Builder
Configure data sources, chunking strategy, LLM model, persona, and guardrails through Architect's visual builder — no engineering resources or Python scripts required.
How It Works
Connect Your Sources
Link Confluence, Notion, Drive, SharePoint, or upload files directly. Architect indexes and chunks content automatically.
Configure the Agent
Set the agent's persona, response style, guardrails, and access rules using Architect's no-code visual builder.
Deploy to Channels
Publish to Slack, Teams, or your website with one click. The agent is live and ready to answer questions in minutes.
Monitor & Improve
Track query volume, answer quality, and knowledge gaps in real time via Architect's observability dashboard — continuously refining accuracy.
Before & After Architect
- Employees spend hours searching Confluence and Slack threads to find answers buried in outdated pages
- Support teams handle hundreds of duplicate tickets about the same documented processes
- Critical institutional knowledge exists only in the heads of senior employees — creating single points of failure
- Knowledge bases go stale — nobody knows which documents are authoritative vs. outdated
- New employee onboarding takes weeks as teammates field the same questions repeatedly
- Employees ask questions in plain language and receive cited answers from authoritative sources in seconds
- Support ticket volume drops 80% as the agent resolves FAQs automatically around the clock
- Role-based access controls ensure the right knowledge reaches the right teams — securely
- Architect's observability dashboard highlights knowledge gaps so documentation improves continuously
- New hires self-onboard in days using the agent as their always-available guide to company knowledge
Your Knowledge Base Agent Prompt
This is the system prompt Architect uses to power your Knowledge Base AI Agent. Paste it in and configure your sources — your agent is ready in minutes.
You are a Knowledge Base AI Agent built on Architect by Lyzr. Your role is to answer questions accurately using only the authoritative content indexed from approved organizational sources (Confluence, Notion, Google Drive, SharePoint, or uploaded files). Rules: - Always cite the source document and section for every answer. - If the answer is not found in the knowledge base, say so clearly and suggest the user contact the relevant team. - Never generate speculative or ungrounded answers. - Respect user role permissions — do not surface restricted content. - Keep responses concise, structured, and actionable. Tone: Professional, clear, and helpful. Avoid jargon unless the user's question uses domain-specific terminology.
Frequently Asked Questions
A Knowledge Base AI Agent is an AI-powered assistant that ingests documents, FAQs, wikis, and structured data sources to answer user questions instantly and accurately — without requiring human intervention or manual search.
With Architect by Lyzr, you can build and deploy a fully functional Knowledge Base AI Agent in under 10 minutes. Connect your data sources, configure the agent persona and guardrails, and publish — no engineering team required.
Architect supports Confluence, Notion, Google Drive, SharePoint, Zendesk, Salesforce, Jira, Slack, and custom document uploads including PDF, DOCX, Markdown, CSV, and HTML — all processed through a unified ingestion pipeline.
Yes. Architect's Knowledge Base AI Agent is built on RAG architecture — combining vector-based semantic search for document retrieval with LLM-powered answer generation to produce accurate, cited, and grounded responses.
Yes. Architect agents can be embedded directly into Slack, Microsoft Teams, web chat widgets, and any REST-compatible platform. Deployment takes a single click from the Architect builder console.
Your Knowledge Base Is Already Built.
Now Make It Intelligent.
Stop making your team search. Deploy a Knowledge Base AI Agent on Architect and surface the right answer, from the right document, to the right person — in seconds.