Replofy RAG Knowledge Base — Eliminate Hallucinations

Replofy's AI-Powered Knowledge Base is a Retrieval-Augmented Generation (RAG) system that transforms documentation, PDFs, websites, and historical support tickets into an AI-ready knowledge engine. Businesses using Replofy train their AI in under 15 minutes and achieve approximately 60% ticket deflection through accurate, context-aware automated responses.

Key Definition

A RAG-powered knowledge base combines an information retrieval system with a language model. It mathematically guarantees that large language models only synthesize their answers based on retrieved, verifiable business context, thereby preventing AI hallucinations and ensuring brand safety.

Key Features

  • Multi-tenant isolated data: Schema-per-tenant PostgreSQL architecture ensures strict data privacy.
  • Rapid Ingestion: Upload PDFs, paste text, or scrape live URLs with zero engineering setup.
  • Semantic Vector Search: Powered by pgvector for mathematical intent matching, rather than keyword matching.
  • Gap Analysis: Dashboard flags common customer queries that currently have no corresponding knowledge documentation.

Stop answering thesame questions twice.

Automated Knowledge

Agents shouldn't spend half their day digging through outdated Google Docs and fragmented Notion pages. Upload your existing PDFs or link your website, and Replofy will instantly answer common customer questions with 100% accuracy.

CQ
Customer Query
Via Email
"Hi, I bought the Pro package yesterday but I need to cancel. Do you offer a refund for annual plans if I cancel early?"
Terms_and_Conditions.pdf
Page 4
Exact Answer Found
"Annual subscriptions are eligible for a prorated refund if cancelled within the first 14 days of purchase."
The Cost Of Bad Knowledge

Disjointed docs break support teams.

These aren't edge cases. They are exactly why so many support agents burn out and why enterprise automation deployments frequently fail.

Fragmented Setups
"Whoever set this up five years ago had no idea what they were doing, and now we're stuck with it. Nothing works the way it should."
The Replofy Fix

A guided, automated deployment framework that correctly establishes your knowledge base from day one, without relying on legacy consultants.

Knowledge Silos
"I spend more time searching through six different Notion workspaces to find an answer than I do actually typing the reply to the customer."
The Replofy Fix

Replofy aggregates all your disparate sources—websites, PDFs, Google Docs—into one unified, instantly searchable single source of truth.

AI Hallucinations
"The chatbot hallucinated our return policy and promised a customer a full refund after 90 days. We had to honor it and lost hundreds of dollars."
The Replofy Fix

Our strict architecture forces the AI to only cite text explicitly found in your uploaded documentation. If it's not there, it escalates to a human.

Actionable Knowledge

Support that actually learns.

Instantly update answers.

When a return policy changes, you shouldn't have to manually retrain a bot or email fifty agents. Simply re-upload the PDF to Replofy. The AI instantaneously deprecates the old logic and strictly follows the new doc.

Prevent generic replies.

Customers hate copy-pasted macros that don't actually read their inquiry. Replofy grasps the profound context of their message and synthesizes an empathetic, highly specific reply using only verified business documentation.

Spot missing documentation.

Why are fifty people a week asking about 'international shipping'? Because it's not on your website. Replofy aggregates unanswered questions into a single dashboard, showing you exactly what articles to write next before users churn.

Measurable Impact

Verified Business Outcomes.

60%

Ticket Deflection

Average immediate reduction in standard L1 tracking and policy queries.

15m

Setup Time

Average time to deploy the knowledge base by scraping URLs or uploading PDFs.

99%

Hallucination Mitigation

Strict RAG architecture ensures answers are mathematically grounded in truth.

FAQ

Knowledge Engine FAQ.

Clear technical answers about indexation, vectorization, and data privacy.

Retrieval-Augmented Generation (RAG) is an AI architecture that combines real-time information retrieval with a language model. Replofy uses RAG to search your uploaded PDFs and websites, ensuring the AI only answers using your verified business data, completely eliminating hallucinations.

Stop the manual triage.

Deploy natively with your favorite channels and e-commerce platforms. Start automating your support workflows today.