AI Customer Support Agents Grounded in Real Business Data
Deploy an autonomous AI agent that resolves customer inquiries 24/7 by retrieving verified facts from your website, PDF manuals, and Excel data sheets. Every answer includes verifiable source citations.
At a Glance: What is a Knogents Customer Support Agent?
Knogents AI Customer Support Agent is an embeddable website assistant that uses Retrieval-Augmented Generation (RAG) to answer user questions using an organization's verified materials (websites, PDFs, DOCX, XLSX, and CSV files). It operates autonomously, provides clickable source citations with answers, and re-indexes content automatically on scheduled intervals.
The Problem: Static Rule Chatbots and Generic LLM Hallucinations
Traditional support chatbots fail customers because they depend on hardcoded decision trees. When a user asks an unscripted question, the bot gets stuck in loop menus.
Conversely, unconstrained LLMs tend to invent policies, invent return terms, or hallucinate product specifications when queried about private business data.
How Knogents Solves This Architecturally
- pgvector Semantic Search: Customer questions are vectorized and matched against exact passages in your documentation.
- Bounded System Prompts: The model is instructed to answer solely using retrieved facts. If facts are missing, it refuses to guess.
- Source Citations: Every output links directly to the underlying document chunk or URL for verification.
- Automated Background Sync: Website pages are periodically crawled to reflect catalog updates and revised policies.
Core Capabilities & Ingestion Formats
Technical components powering Knogents AI customer service agents.
Sitemap & Web Crawling
Extracts text, strips scripts, styles, and navigational elements, and partitions pages into semantic chunks.
Excel & CSV Table Parsing
Transforms spreadsheets into markdown tables with preserved headers, allowing accurate row-by-row vector matching.
PDF & DOCX Manuals
Parses multi-page policy manuals, technical specifications, and operating procedures with page-level attribution.
Scheduled Auto-Sync
Automated re-indexing runs daily, weekly, or monthly to keep agent knowledge aligned with published web changes.
1-Line Script Embed
Embeds anywhere JavaScript is supported: Shopify, WordPress, Webflow, Squarespace, React, Next.js, and standard HTML.
Tenant Isolation
Every query is cryptographically filtered by client ID and agent ID, preventing cross-tenant data leakage.
To maintain accuracy, Knogents operates strictly within defined boundaries:
- Requires Grounded Data: The agent cannot answer questions about business operations that have not been provided in uploaded files or crawled pages.
- No Speculative Reasoning: The AI will not fabricate discounts, shipping timelines, or inventory figures not present in its knowledge base.
- Crawl Depth & Rate Limits: Large websites are indexed up to plan-specific character and page ceilings to prevent crawling abuse.
Pricing for AI Customer Support Agents
Transparent plans scale from free hobby testing to high-volume commercial customer support.
Frequently Asked Questions
What is an AI customer support agent?
An AI customer support agent is software powered by large language models and semantic retrieval that autonomously answers customer inquiries around the clock. Unlike traditional rule-based chatbots that follow fixed decision trees, an AI agent understands natural language and retrieves verified answers from company documentation.
How does Knogents prevent the AI from making up incorrect answers (hallucinations)?
Knogents uses strict Retrieval-Augmented Generation (RAG) backed by PostgreSQL pgvector. When a visitor asks a question, the system queries the customer's vector database, retrieves matching paragraphs, and instructs the model to answer only using those verified facts while outputting clickable citations.
What types of documents can I use to train the support agent?
Knogents supports live website URLs, XML sitemaps, PDFs, Microsoft Word (.docx), plain text files (.txt, .md), and spreadsheets (.xlsx, .xls, .csv). Spreadsheets are automatically converted into structured markdown tables so tabular records can be retrieved accurately.
How does Knogents keep support answers up to date when website content changes?
Knogents includes an automated sync engine. Based on the organization's plan, the platform periodically crawls linked URLs to detect changes, re-index updated pages, and remove outdated entries automatically.
What happens when a customer asks a question not covered in the knowledge base?
If the similarity threshold is not met, the agent informs the visitor that the information is currently unavailable and captures the inquiry for operator review. If lead capture or WhatsApp escalation is enabled, the visitor can be routed to human personnel.
Ready to Automate Customer Inquiries?
Ingest your website or documentation and deploy an AI customer support agent in less than two minutes.
Start Free Today