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RAG & Knowledge AI for Small Businesses
Nyatva builds retrieval-augmented generation systems that let your team ask plain-language questions across contracts, manuals, reports and archives. Every answer cites the source document and page, so it can be verified rather than trusted blindly. Access controls make sure people only ever see what they are permitted to.
Organisations rarely lack information — they lack retrieval. The answer is in a PDF somebody saved in 2019 under a filename nobody can guess. A RAG system indexes that whole corpus so a question in ordinary language returns the relevant passage in seconds.
Citations are the non-negotiable part. An uncited answer is a rumour with good grammar. Every response we return points back to the document and page it came from, so the person reading it can check before acting.
We use hybrid retrieval — semantic search combined with keyword matching — because pure vector search reliably fails on exactly the things businesses search for: part numbers, clause references, invoice IDs.
What's included
- Document ingestion pipeline for PDF, Word, Excel and scanned files
- Hybrid semantic plus keyword retrieval for names, codes and clause references
- Answers with citations to source document and page
- Access controls so results respect who is allowed to see what
- Search-and-chat interface, or an API into your existing tools
- Incremental re-indexing as documents change
- Evaluation set measuring retrieval accuracy before launch
Who this is for
- Staff waste hours hunting through shared drives and PDF archives
- Expertise sits with one or two people and is not written down anywhere findable
- You must answer questions accurately from contracts or regulations
- You have thousands of documents and no meaningful search across them
How it works
- 01
Discovery call
30-60 minWe discuss your goals, constraints and timeline. We ask a lot of questions, because a problem understood properly is usually cheaper to solve.
- 02
Proposal and fixed quote
1-2 daysYou receive a written proposal with scope, timeline and a fixed price. No hourly billing, no open-ended estimates.
- 03
Build and iterate
VariesWe build with regular check-ins and working previews, so you see progress and can redirect us early rather than at the end.
- 04
Launch and support
OngoingWe deploy, hand over the code and documentation, and stay available through the included support period.
What it costs
Fixed-price build scoped to the size of your document set. Running cost is storage plus per-query usage, typically a small monthly amount for a team-sized deployment.
See pricing tiers and live currency conversionWhat we build with
LangChain
pgvector
OpenAI Embeddings
FastAPI
PostgreSQL
Anthropic Claude
Related work
Frequently asked questions
What is RAG and why does it matter?
RAG stands for retrieval-augmented generation. Instead of relying on what a language model memorised during training, the system first retrieves the relevant passages from your own documents and then answers using only those. That is what makes answers current, specific to your business, and checkable against a source.
Will my documents be used to train an AI model?
No. Nyatva builds on API tiers that contractually exclude your data from training, and your documents stay in a database you control. The model only ever sees the passages needed to answer a specific question, and can be self-hosted if your compliance requirements demand it.
Can it handle scanned documents and handwriting?
Scanned documents, yes — Nyatva runs OCR during ingestion so scanned PDFs and photographed pages become searchable. Printed text is highly reliable. Handwriting is workable but accuracy varies with legibility, so Nyatva tests a sample from your archive before committing to it.
How is this different from a chatbot?
A chatbot is a conversational interface aimed at customers; a RAG system is a retrieval engine, usually aimed at your own team and a much larger document set with citations and permissions. They combine well — Nyatva often builds RAG as the knowledge layer underneath a customer-facing chatbot.
Related services
Talk to us about rag & knowledge ai
A short call, no sales pitch. You'll leave with a clear recommendation and a fixed-price quote, whether or not you work with us.
Nyatva works with businesses in Hyderabad, Bengaluru, across India and worldwide.