Single knowledge base
from
AED 20,000
One knowledge base, searchable and cited.
- One source type indexed
- Citation on every answer
- Access controls
- Staging environment first
- 3–4 week delivery
Answers grounded in your own data.
Retrieval-augmented systems that cite your docs, not the model's guesses.
What's included
Everything in the base build.
No upsell tiers. Every deliverable ships in the base price you sign for.
8
Get the full scope in writingdeliverables, zero add-ons
all in the quote you sign
Base build
Corpus ingestion
your docs, chunked and indexed
Vector store setup
hosted or self-hosted
Retrieval pipeline
tuned for your query patterns
Grounded answers with citations
sources on every reply
Eval harness
faithfulness and precision scored
Data privacy review
your data stays yours
Documentation & handover
prompts, configs, and docs
2 weeks of tuning
included after launch
Types we build
Pick the RAG system you need.
Every RAG deployment has a different audience and source set. Select one to see what each involves.
Internal knowledge search
Typical timeline
3–4 weeks
Typical sources
Wikis & docs
What's specific to this type
- Searches across wikis & drives
- Access-controlled per user
- Cites the source paragraph
How it goes
Four steps, no black box.
Scroll to step through the build ↓
Step 01 / 04
Kickoff call
A focused call to lock the use case, data sources, and a fixed quote. No open-ended discovery retainer. You leave with a written scope before anything starts.
You get
a written scope and a fixed quote
It starts with one call.
Thirty minutes to a scope, a quote, and a fixed launch date.
Built on
What we reach for retrieval systems that cite their sources.
OpenAILangChainHugging FacePostgreSQLRedisPython
Pricing
Starting prices, in the open.
Real numbers, not "contact us for pricing." Your final quote depends on scope and integrations. You'll have it in writing within 48 hours.
Multi-source RAG
from
AED 42,000
Several source types, unified into one system.
- Up to 4 source types
- Re-indexing on document change
- Usage dashboard
- Role-based access
- 6–8 week delivery
Enterprise RAG platform
from
AED 90,000
A retrieval platform across your whole organization.
- Unlimited source types
- Custom retrieval pipeline
- SLA & monitoring
- Priority support
- 10–12 week delivery
What we can build
What retrieval looks like in practice.
Illustrative concepts, not real client projects, just a quick read on how we approach this.
Cited answers
Every answer links back to the exact source paragraph.
Access-aware retrieval
Users only ever retrieve what they're permitted to see.
Freshness sync
Re-indexes automatically as your source documents change.
Questions
RAG Development, answered.
No. We use your data only to build your system, on infrastructure you control. Nothing is used to train third-party models, and you can delete it on request.
You pay API usage directly (OpenAI, Anthropic, or whichever model fits), usually a few hundred dollars a month for a typical deployment. We size that with you before build, no surprise bill.
A single knowledge base in 3–4 weeks, an enterprise RAG platform in 8–12.
The system is built to answer only from retrieved sources and say 'I don't know' when nothing matches, that's the whole point of RAG.
Yes, PDFs, wikis, CRMs, and databases can feed the same retrieval index.
A clear, proven process
RAG done right.
Grounded, cited.
Corpus to answers, evals included. Fixed quote in 48 hours, weekly staging until it ships.
The processbrief → first staging build in ~2 weeks
01Send the briefWhat you’re building, in a paragraph.5 min
02Get a fixed quoteScope, price, and date, locked.48 hrs
03Watch it take shapeA new build to staging every week.weekly
04Ship to productionLive, handed over, and supported.live
team onlineavg reply 1h 47m