RAG Systems
About this service
RAG that improves answer quality and usefulness by grounding outputs in the right information — not just by bolting on a vector database.
This service is for businesses that need assistants, search, or knowledge workflows tied to their own content, documents, or structured information.
Outcomes you can expect
- Improve relevance and groundedness in AI responses
- Make internal knowledge easier to access
- Support more useful assistants, search, and document workflows
What's included
- Retrieval design and document strategy
- Chunking, indexing, and content pipeline guidance
- Assistant or knowledge-workflow implementation direction
Compare packages
Three scope levels. Feature-by-feature comparison — no surprises after the quote.
| Feature | Starter $7,500 | GrowthPopular $7,500-$30,000+ | Custom Custom quote |
|---|---|---|---|
| Turnaround | 7-10 day delivery | 2-5 week delivery | Custom phased plan |
| Revisions | 1 structured revision | 2 structured revisions | Milestone-based reviews |
| Retrieval design and document strategy | |||
| A useful content source such as docs, files, knowledge bases, or policies | |||
| Clear scope and recommended next step | |||
| Chunking, indexing, and content pipeline guidance | |||
| Stronger implementation depth and refinement | |||
| Assistant or knowledge-workflow implementation direction | |||
| Custom scope aligned to complexity, integrations, and rollout needs | |||
| Choose Starter | Choose Growth | Choose Custom |
How the work runs
Every phase has a deliverable. You always know what's next.
- 01
Audit the knowledge source
The system starts with what information exists, how current it is, and how reliable it is for retrieval.
- 02
Design the retrieval layer
Chunking, indexing, metadata, and permissions logic are shaped around the use case instead of using defaults blindly.
- 03
Build the answer workflow
The assistant or search experience is designed around the user’s actual questions and decision flow.
- 04
Improve groundedness and usefulness
The system is refined based on answer quality, retrieval quality, and practical usage.
Delivery commitments
The guardrails that apply to every engagement, not just the big ones.
48-hour quote turnaround
Submit a scope request; we return a real number, a scoping proposal, or a written recommendation within two business days.
Written scope before kickoff
Every engagement starts with a shared document — deliverables, assumptions, exclusions, and what counts as done.
Fixed price when scope is clear
Hourly billing creates perverse incentives. Once requirements are defined, we commit to a fixed number and absorb estimation risk.
Production-first, not demo-first
Evaluation, monitoring, and ownership paths are part of the scope — not retrofitted after the pilot impresses the exec room.
Where this service lands hardest
Internal knowledge assistant
Help teams retrieve procedures, policies, product knowledge, or operational content more quickly.
Customer or lead-support assistant
Use business content to support customer-facing answers, qualification, or pre-sales guidance.
Structured document retrieval
Turn scattered documentation into a retrieval system with better search and answer quality.
What we need from you
Better input creates a stronger engagement. Bring as much of this as you can.
- A useful content source such as docs, files, knowledge bases, or policies
- Clarity on what users need to retrieve or ask
- Any constraints around freshness, permissions, or answer quality
Frequently asked questions
Is this only for large enterprises?+
No. The engagement size changes with scope, but the structure is meant for teams that want clear implementation rather than vague AI exploration.
Can this include integrations and deployment?+
Yes. The exact scope depends on the service, but production deployment and integration planning are common parts of this kind of work.
What most affects pricing?+
Data readiness, integration depth, evaluation requirements, compliance, and how production-ready the final system needs to be.
About ConnectivAI
Applied-intelligence practice delivering AI systems, custom software, web platforms, and growth infrastructure built for production. One partner across four lanes — fewer vendor seams, tighter handoffs, work that compounds across acquisition, product, and operations.
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Get a written estimate for RAG Systems
Share enough context and we'll email back a budget range, recommended next step, and any clarifying questions — usually within one business day.