Loading…
Hire a RAG Developer · Atlanta, GA
A compliance analyst at an Atlanta fintech company needs to know whether their current tap-to-pay integration satisfies updated Visa requirements. The relevant rules are buried across a 400-page operating rules document that was last revised three months ago. The answer that matters is a specific section reference, not a summary.
Atlanta is home to NCR Voyix, Global Payments, Cardlytics, and Fiserv regional operations. These companies generate continuous volumes of payment compliance documentation: PCI DSS standards, card network operating rules, processor agreements, issuer guidelines. Manual search against these libraries is a recurring bottleneck.
A RAG system built on Atlanta's fintech and healthcare document libraries answers compliance queries in seconds with a citation to the exact rule version. Scope and pricing are tailored to the document set and compliance requirements involved.
Describe your document search problem and we will scope a solution.
Payment networks publish operating rule updates on a quarterly cadence. A processor that handles Visa, Mastercard, and Discover transactions is tracking three separate rule sets that each run hundreds of pages. When a rule changes, compliance teams need to know exactly which integrations, merchant categories, or product lines are affected. That answer lives in the diff between two document versions, not in a summary email.
Delta Air Lines maintains operations manuals across dozens of aircraft types and ground handling procedures. Home Depot has supplier agreements with bespoke terms for thousands of vendors. Emory University Hospital and Grady Health System carry clinical documentation libraries spanning protocols, formulary guidelines, and payer contract terms.
In each case, the document corpus is large, the search tools are inadequate (SharePoint full-text search does not understand semantic synonyms), and the cost of retrieving the wrong answer is real: a misconfigured payment integration generates chargebacks and fines; a clinical documentation error creates compliance exposure.
The pattern across all these industries is the same: a professional who needs a specific answer from a document library that exceeds practical reading capacity. A well-built RAG system does not replace the professional. It eliminates the 45-minute manual search step before the professional can do their actual job.
A compliance analyst at a Global Payments or Fiserv regional office queries the current Visa or Mastercard operating rule in plain language. The system returns the exact section with the effective date, version number, and a link to the source document. Version supersession is tracked automatically.
Home Depot maintains supplier agreements with different liability terms, indemnification clauses, and return policies by vendor category. A procurement manager querying 'what is the shelf-pull allowance for seasonal outdoor SKUs' gets the relevant clause from the correct vendor agreement, not a list of all agreements.
Emory and Grady Health clinicians need to query formulary guidelines, protocol documents, and payer contract terms. The RAG system operates within a BAA-signed deployment on infrastructure that satisfies HIPAA technical safeguards. Access is role-scoped so a billing coordinator cannot retrieve clinical protocol content.
Delta Air Lines operates over 900 aircraft across multiple type certificates. Maintenance and operations documentation is aircraft-type specific. A technician query is filtered to the applicable type certificate before the semantic search runs, preventing retrieval of procedures that apply to a different aircraft family.
Each document is ingested with effective_date, version_id, and status (active or superseded) in chunk metadata. When a rule update arrives, prior version chunks are marked superseded. Active queries exclude superseded content by default. Historical queries can specify a date to retrieve the rule set that was in effect on that date.
Payment operating rules frequently reference other sections and external standards. We index cross-reference links at ingestion and surface referenced content alongside primary results. A query that returns a PCI DSS requirement also retrieves the referenced card brand rule that applies to the same scope.
Document access is filtered by user role at query time, enforced at the vector store metadata layer, not at the interface layer alone. A query from a billing coordinator runs against a document subset that excludes clinical protocols. Metadata filters on role, department, and document_class apply before the vector search runs.
Before handoff, we build a test set of 80-100 compliance queries drawn from real questions your team has submitted. We measure recall@3, answer accuracy on regulatory language, and citation correctness. You get a benchmark number before the system touches production workflows.
Every engagement starts with a one-hour discovery call. We ask to see a sample of your actual documents before quoting. Most scoping surprises come from the documents themselves: a PDF that was scanned at low resolution, a compliance table that spans multiple columns, a document structure we have not seen before.
After discovery, we deliver a written scope within two business days. The scope covers: document types in scope, chunking strategy, metadata fields to extract, vector store choice, retrieval architecture, evaluation criteria, and handoff format (hosted API endpoint, deployed containerized service, or source code you run yourself).
Build takes four to eight weeks depending on corpus size and integration complexity. We hand over the evaluation benchmark alongside the working system.
Describe your document library, the queries your team needs to answer, and any compliance or access control requirements. We reply within one business day.