RAG & Knowledge
Retrieval-augmented systems over your own documents and data. Internal Q&A, document assistants, and knowledge search that answers accurately from your content.
- Index
- Vector DBs
- Retrieval
- Hybrid + Reranking
- Track
- AI Systems
- Timeline
- 3–5 Wks
Overview
RAG turns your documents into an answer engine. We ingest, embed, and index your content — contracts, manuals, policies, support history — and build a question-answering layer that grounds every answer in a citation. It's how you give an LLM your business context without retraining a model.
- 01Document Q&A
- 02Internal Knowledge Search
- 03Source-Grounded Answers
Who this is for
- 01
Documentation, contracts, and policies exist, but nobody can find the answer fast
- 02
New hires ask the same onboarding questions your senior staff answer manually
- 03
Support searches five systems to answer one customer question
- 04
You need answers that cite the source, not confident-sounding guesses
What we deliver
Everything that ships when we turn your documents into answers.
How we work
Source mapping
Where the knowledge actually lives. Access, permissions, freshness.
Ingest & index
Chunk, embed, store. Hybrid retrieval — semantic + keyword for proper-noun precision.
Evaluate
Run against a real test set. Tune until the accuracy bar is consistently hit.
Ship & maintain
Ship the UI, wire access control, schedule the refreshes. Care plan keeps it accurate.
Source mapping
Where the knowledge actually lives. Access, permissions, freshness.
Ingest & index
Chunk, embed, store. Hybrid retrieval — semantic + keyword for proper-noun precision.
Evaluate
Run against a real test set. Tune until the accuracy bar is consistently hit.
Ship & maintain
Ship the UI, wire access control, schedule the refreshes. Care plan keeps it accurate.
Scope & pricing
- 01
Search
One knowledge base, turned into an answer engine.
- Ingestion pipeline for your documents
- Q&A UI with source citations
- Eval harness against real questions
Timeline2–3 Wks - Recommended
Assistant
Multiple sources, access-controlled, kept current.
- Hybrid retrieval with reranking
- Access control by role
- Scheduled refresh as content changes
Timeline3–5 Wks - 03
Platform
Woven into the internal tools your team already uses.
- Embedded in your existing systems
- Multi-source, multi-team access
- Continuous accuracy tuning
Timeline5–8 Wks
Every engagement gets a fixed price in writing, confirmed within 48 hours of a scoping call.
Start a conversationQuestions, answered
Every answer is grounded with a citation back to the source document, and we test against a real question set before launch.
The people who own what we shipped.
Before partnering with Inorva, managing high volumes of client inquiries for Lasheen Mall was consuming a huge chunk of our workday. Inorva designed an intelligent AI-powered WhatsApp chatbot that perfectly fit our operational needs. It automated 80% of client inquiries, saved us 15+ hours per week, and drove a 35% increase in overall sales. Their technical execution and focus on real business outcomes are unmatched.
Ehab LasheenAccountant & Owner of Lasheen Businesses
Lasheen Businesses & MallEgypt
Have a knowledge base nobody reads?
We'll turn it into something people actually ask questions of. Scoping call gets the first numbers on the table.
Start a conversation
Add a conversational layer on top and your team — or your customers — can just ask.
Field notes from the build.
Practical write-ups on the services above — architecture calls, trade-offs, and what they cost in practice.