RAG-Powered Document Q&A Backend — Starter BuildChaitanya Gupta
I build backend systems that let you ask questions over your own documents using retrieval-augmented generation (RAG) — no hallucinated answers, grounded in your actual content. I've built and shipped Prepwise, a production RAG system (FastAPI + Qdrant + NVIDIA NIM), and can bring the same approach to your use case.
What's included (fixed scope):
Document ingestion (PDF/text, up to ~50 pages or files — negotiable)
Vector embedding + retrieval setup (Qdrant)
LLM integration for grounded Q&A over your content
A working API endpoint (FastAPI) you or your team can call
Basic setup documentation
1 round of revisions
Not included (offer as separate add-ons later once you have more capacity): custom frontend/UI, multi-channel integration (WhatsApp/Slack), ongoing hosting/maintenance.
FAQs
Example work
Starting at$350
Duration3 weeks
Tags
FastAPI
LLM APIs
PostgreSQL
Python
Qdrant
AI/ML Engineer
Backend Developer
Service provided by
Chaitanya Gupta Coimbatore North, India
RAG-Powered Document Q&A Backend — Starter BuildChaitanya Gupta
Starting at$350
Duration3 weeks
Tags
FastAPI
LLM APIs
PostgreSQL
Python
Qdrant
AI/ML Engineer
Backend Developer
I build backend systems that let you ask questions over your own documents using retrieval-augmented generation (RAG) — no hallucinated answers, grounded in your actual content. I've built and shipped Prepwise, a production RAG system (FastAPI + Qdrant + NVIDIA NIM), and can bring the same approach to your use case.
What's included (fixed scope):
Document ingestion (PDF/text, up to ~50 pages or files — negotiable)
Vector embedding + retrieval setup (Qdrant)
LLM integration for grounded Q&A over your content
A working API endpoint (FastAPI) you or your team can call
Basic setup documentation
1 round of revisions
Not included (offer as separate add-ons later once you have more capacity): custom frontend/UI, multi-channel integration (WhatsApp/Slack), ongoing hosting/maintenance.
FAQs
Example work
$350