RAG Knowledge Base Assistant | AI Answers from Your Documents by Abdul RafayRAG Knowledge Base Assistant | AI Answers from Your Documents by Abdul Rafay
RAG Knowledge Base Assistant | AI Answers from Your DocumentsAbdul Rafay
Cover image for RAG Knowledge Base Assistant | AI Answers from Your Documents

Ask your docs anything

Your team loses hours searching manuals, policies and old tickets for answers. I build assistants that answer from your own documents and show the source for every answer, so people can check it. This is called RAG, retrieval augmented generation: the AI looks up your documents first, then writes the answer. I built the Enterprise Support AI Hub on this approach. Your data stays in your own accounts, and access can follow user roles.

Packages

Starter, working prototype ($180, 4 days): Up to 20 documents indexed, simple chat page with cited sources
Standard, team assistant ($700, 10 days): Up to 200 documents, admin upload page, login, chat history, web embed
Advanced, production assistant ($1,400, 3 weeks): Standard plus role-based access, Google Drive or Notion sync, answer feedback, evaluation report, usage tracking

Add ons

Google Drive or Notion sync on Standard
Role-based access
Extra language

What I need from you

Sample documents, rules on what users may see, a list of users or roles, and where the assistant should live. You own all code and accounts from day one.
FAQs

Starting at$180
Duration1 week
Tags
Claude
LangChain
Next.js
Node.js
OpenAI
Python
AI Agent Developer
AI Developer
Fullstack Engineer
Service provided by
Abdul Rafay Faisalabad, Pakistan
14
Followers
RAG Knowledge Base Assistant | AI Answers from Your DocumentsAbdul Rafay
Starting at$180
Duration1 week
Tags
Claude
LangChain
Next.js
Node.js
OpenAI
Python
AI Agent Developer
AI Developer
Fullstack Engineer
Cover image for RAG Knowledge Base Assistant | AI Answers from Your Documents

Ask your docs anything

Your team loses hours searching manuals, policies and old tickets for answers. I build assistants that answer from your own documents and show the source for every answer, so people can check it. This is called RAG, retrieval augmented generation: the AI looks up your documents first, then writes the answer. I built the Enterprise Support AI Hub on this approach. Your data stays in your own accounts, and access can follow user roles.

Packages

Starter, working prototype ($180, 4 days): Up to 20 documents indexed, simple chat page with cited sources
Standard, team assistant ($700, 10 days): Up to 200 documents, admin upload page, login, chat history, web embed
Advanced, production assistant ($1,400, 3 weeks): Standard plus role-based access, Google Drive or Notion sync, answer feedback, evaluation report, usage tracking

Add ons

Google Drive or Notion sync on Standard
Role-based access
Extra language

What I need from you

Sample documents, rules on what users may see, a list of users or roles, and where the assistant should live. You own all code and accounts from day one.
FAQs

$180