RAG & Document AI
Make your documents answer questions.
Retrieval-augmented generation and document intelligence that extract, classify and reason over PDFs, forms, contracts and internal knowledge — with answers that cite their sources.
Sound familiar?
“The answers your team needs exist somewhere in documents, wikis and tickets — finding and trusting them takes too long.”
A good fit if you have
- Large volumes of documents or internal knowledge
- Repeated questions that experts answer by hand
- Data that can be indexed securely
What we build
RAG & Document AI, built for production.
- 01
Internal knowledge assistants
Ask questions across policies, docs and tickets; get answers with citations.
- 02
Document extraction
Pull structured data out of PDFs, invoices, forms and scanned documents.
- 03
Classification & routing
Sort incoming documents and requests to the right queue automatically.
- 04
Permission-aware search
Retrieval that respects who is allowed to see what.
How we approach it
Four steps. No surprises.
- 1
Audit the sources
Inventory documents, formats, freshness and access rules.
- 2
Design retrieval
Chunking, embeddings, hybrid search and re-ranking tuned to your content.
- 3
Measure answer quality
Question sets with expected answers, scored on every change.
- 4
Keep it fresh
Ingestion pipelines that re-index as documents change.
Stack
The RAG & Document AI stack
- OpenAI
- Claude
- Vector databases
- Hybrid search
- Python
- FastAPI
- OCR
Questions
What people usually ask
Will the AI make things up?
RAG systems answer from retrieved sources and cite them. We measure groundedness and configure the system to say it doesn't know rather than guess.
Where is our data stored?
In infrastructure you choose. We can run retrieval inside your cloud account.
MIISCO / Start
Have something ambitious in mind? Let's figure out how to build it.
- 01We read your briefAn engineer — not a salesperson — replies within one business day.
- 02A focused callWe ask the questions that shape scope, risk and cost.
- 03A written planScope, approach, team and estimate you can compare and challenge.
Prefer email? vishal@miiscollp.com
Or call +91 7000285287