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Yesinfosolutions
AI engineering

Answers grounded in your own data, with sources.

Secure, retrieval-based AI connected to your PDFs, SOPs, contracts, manuals and internal knowledge.

Retrieval-augmented generation lets a model answer from documents it was never trained on, and cite exactly where the answer came from. For most enterprise knowledge problems, this fits better than fine-tuning, because the underlying documents keep changing and access needs to stay scoped to who is allowed to see what.

What this involves

Capabilities.

Ingestion pipelines for PDFs, manuals, SOPs, contracts and internal wikis
Access-scoped retrieval, so answers respect existing permission boundaries
Source citation on every answer, so it can be verified
Regular re-indexing as documents change
Where it connects

Fits into what you already run.

Document management and file storage systems
Internal wikis and knowledge bases
Identity and access management for permission scoping
Search and helpdesk tools
How we approach it

Four steps, not a leap.

01

Audit the documents

Understand what actually exists, and how current it is, before building anything.

02

Design the access boundary first

Permission scoping shapes the retrieval pipeline, not the other way round.

03

Tune against real questions

Retrieval quality is judged against what people actually ask, not a demo query.

04

Keep citations visible

Trust is earned by showing sources, not by asserting confidence.

Let's talk

You bring the problem.We figure out the technology.

No sales pressure. We will first understand what you are trying to fix, then tell you honestly how we would approach it, including when the answer is simpler than you think.

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