AI Solutions & Automation
RAG knowledge base assistants that answer from your own documents
Overview
Your company knowledge, instantly searchable
Answers are often buried in PDFs, wikis and shared drives. A RAG knowledge base assistant uses retrieval-augmented generation to find the right passages and answer questions in plain language, with links to the source.
We prepare and index your content, keep it in sync as documents change and control who can see what, so staff and customers get trustworthy answers in seconds.
What's included
What our RAG development includes
Content ingestion
PDFs, Word, Google Drive, Notion, Confluence and websites.
Search and retrieval tuning
Chunking, embeddings and ranking for accurate answers.
Cited answers
Every answer links back to its source.
Access control
Users only see documents they are allowed to.
Automatic sync
Index updates when documents change.
Evaluation
Test sets to measure and improve accuracy.
How we work
Our RAG Knowledge Base Assistants process
- Step 01
Discover
Workshops to pick the highest-value use case and define success metrics.
- Step 02
Prototype
A working prototype on your real data within weeks.
- Step 03
Build and integrate
Production build connected to your website, CRM and tools.
- Step 04
Evaluate
Structured testing for accuracy, tone and safety.
- Step 05
Launch
Go live with monitoring, logging and human handover.
- Step 06
Improve
Regular reviews of conversations and results.
Industries
Industries we serve
Health & Fitness
Fintech
EdTech
Real Estate
Hospitality
eCommerce
Sports
Logistics
Tech stack
Technologies we use
- OpenAI
- Anthropic Claude
- Google Gemini
- LangChain
- Python
- n8n
- Zapier
- Make
- HubSpot
- Zoho CRM
- WhatsApp Business
- Supabase
Brands associated with Webyant
FAQ
RAG Knowledge Base Assistants FAQs
What is a RAG assistant?
RAG (retrieval-augmented generation) means the AI first searches your documents for relevant information and then writes an answer based only on what it found, with sources.
Is our internal data kept private?
Yes. We use business API tiers that do not train on your data, can host the index in your cloud and apply access controls.
How accurate are the answers?
We build a test set from real questions, measure accuracy before launch and keep improving it from usage.
Ready to talk about RAG Knowledge Base Assistants?
Request a free quote. Our team will reply within one business day with next steps.