AI Knowledge Base & RAG AssistantsMuhammad Awais
Hire an AI developer to build a retrieval-augmented generation (RAG) assistant that answers questions from your own documents, help centre and databases — with citations, not guesses. Most knowledge-base assistants go live within 48 hours, never more than 1 week.
What you get from this RAG assistant service
Multi-query retrieval that rewrites every question several ways, so the right chunk is found even when the wording does not match
Grounded answers with citations — each response links back to the exact document, page or record it came from
Hybrid search combining vector similarity with keyword ranking, so results stay accurate on technical and niche terms
Self-hosted data: your vectors live in your own Supabase or Postgres, never in a vendor's black box
Stack I build with
OpenAI and Gemini embeddings, Supabase/Postgres pgvector, n8n, and clean APIs for Slack, WhatsApp, web chat or internal tools. Front ends in Next.js or embedded straight into the app you already run.
Proven results from real knowledge-base projects
Advanced multi-query RAG system: multi-query fan-out with Supabase and OpenAI for higher recall on complex questions
Smart WhatsApp assistant over a Google Docs knowledge base: 90% less manual searching
AI customer support triage: 10+ hrs/week saved, 60% fewer escalations
Delivery & turnaround
I usually deliver a working first version within 48 hours. Complex multi-source builds never take more than 1 week. Ready for all types of projects — one-off builds or ongoing retainers.
Send me the documents you want it to know and I'll show you it answering real questions.
FAQs
Example work
Contact for pricing
Duration1 week
Tags
AI Chatbot
LangChain
OpenAI
RAG
Supabase
Vector Database
AI Automation
Knowledge Base
n8n
Service provided by
Muhammad Awais Islamabad, Pakistan
- 2
- Followers
AI Knowledge Base & RAG AssistantsMuhammad Awais
Contact for pricing
Duration1 week
Tags
AI Chatbot
LangChain
OpenAI
RAG
Supabase
Vector Database
AI Automation
Knowledge Base
n8n
Hire an AI developer to build a retrieval-augmented generation (RAG) assistant that answers questions from your own documents, help centre and databases — with citations, not guesses. Most knowledge-base assistants go live within 48 hours, never more than 1 week.
What you get from this RAG assistant service
Multi-query retrieval that rewrites every question several ways, so the right chunk is found even when the wording does not match
Grounded answers with citations — each response links back to the exact document, page or record it came from
Hybrid search combining vector similarity with keyword ranking, so results stay accurate on technical and niche terms
Self-hosted data: your vectors live in your own Supabase or Postgres, never in a vendor's black box
Stack I build with
OpenAI and Gemini embeddings, Supabase/Postgres pgvector, n8n, and clean APIs for Slack, WhatsApp, web chat or internal tools. Front ends in Next.js or embedded straight into the app you already run.
Proven results from real knowledge-base projects
Advanced multi-query RAG system: multi-query fan-out with Supabase and OpenAI for higher recall on complex questions
Smart WhatsApp assistant over a Google Docs knowledge base: 90% less manual searching
AI customer support triage: 10+ hrs/week saved, 60% fewer escalations
Delivery & turnaround
I usually deliver a working first version within 48 hours. Complex multi-source builds never take more than 1 week. Ready for all types of projects — one-off builds or ongoing retainers.
Send me the documents you want it to know and I'll show you it answering real questions.
FAQs
Example work
Contact for pricing