AI Development
RAG Development Services
We build Retrieval-Augmented Generation systems that answer from your content, not guesses. Expect clean ingestion, tuned retrieval, citations, and an architecture built for ongoing updates.
Overview
What this service is
We convert your sources—PDFs, wikis, help centers, tickets, and databases—into a searchable knowledge layer with metadata and versioning.
Retrieval is designed for trust: citations/excerpts in responses, permission-aware access, and fallback behavior when the system is uncertain.
We tune chunking, filters, hybrid search, and reranking against a test set so retrieval quality improves predictably as your content grows.
Benefits
What you get
Higher accuracy for customer and internal answers
RAG pulls relevant context so responses stay grounded in real, current content.
Trust-building citations
Users can verify sources and follow links to the exact excerpt behind an answer.
Faster onboarding and support resolution
Teams find answers quickly across large doc sets, reducing repetitive manual searching.
Permission-aware knowledge access
Access rules and role boundaries can be respected when needed for internal systems.
Measurable, testable improvements
Eval sets and regression checks make retrieval tuning safer and more repeatable.
Features
What we deliver
Ingestion pipeline
Parsers, normalization, and update workflows for PDFs, docs, web content, and structured sources.
Chunking + metadata strategy
Chunking tuned to your domain plus metadata that supports filters and access control.
Vector DB setup
Pinecone/Qdrant/Weaviate/pgvector schemas, indexes, and performance-ready configuration.
Hybrid search + reranking
Combine keyword + vector retrieval and rerank results for better relevance and fewer misses.
Citations and excerpts in answers
Answer formatting designed for trust, with consistent source attribution and links.
Monitoring + eval loop
Quality checks, retrieval diagnostics, and feedback signals to keep performance stable over time.
Process
How we work
Source audit
We review your content sources, access rules, and target queries to define the retrieval plan.
Ingestion build
We implement parsing, chunking, metadata, and update workflows for your chosen sources.
Retrieval + generation
We wire hybrid retrieval, reranking, prompting, and response formatting with citations.
Evaluation
We create a query set and iterate on retrieval settings to hit accuracy and latency targets.
Launch
We deploy, monitor, and document how to maintain and evolve the knowledge base over time.
Tech Stack
Technologies we use
Core
Tools
Use Cases
Who this is for
Support knowledge assistant
Answer from docs and help center content with citations and clean escalation to humans.
Internal policy and SOP search
Find answers across handbooks, runbooks, and internal docs with role-aware access controls.
Product documentation copilot
Help users and engineers locate implementation details, examples, and API references quickly.
Sales enablement assistant
Answer product questions from approved collateral and generate structured summaries for follow-ups.
Document-heavy research workflows
Search across large PDF libraries with citations and versioning for consistent results.
FAQ
Frequently asked questions
PDFs, docs, web pages, help centers, wikis, tickets, and structured sources like databases or APIs. We tailor parsing and chunking per format.
Yes. We include citations and excerpts wherever possible so users can verify the source behind an answer.
Yes. We can implement permission-aware retrieval and filtering aligned to your RBAC model when your access rules are available.
We build update jobs and re-indexing workflows so new or changed documents are reflected reliably without manual effort.
Yes. We can embed RAG into your product via an API, a widget, or an internal tool experience depending on your stack.
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Regional
Delivery considerations for your region
Compliance & Data (US)
For US teams, we build with auditability in mind: clear access boundaries, least-privilege roles, and reviewable operational controls.
We can align delivery with SOC 2 / ISO-friendly practices (without claiming certification): evidence-ready logs, secure-by-default config, and clear ownership.
- SOC 2 / ISO-friendly implementation patterns (no certification claims)
- Least-privilege access and permission boundaries
- Security review checklists for auth, payments, and data flows
- PII-safe logging + incident response playbooks (on request)
- Retention and deletion flows where required
- NDA + vendor onboarding docs on request
Timezone & Collaboration (Americas)
We support teams across the Americas with meeting windows that work for EST/CST/MST/PST.
We keep delivery predictable with weekly milestones, concise async updates, and written decisions to reduce calendar load.
- Americas overlap with EST/PST-friendly windows
- Async-first updates with written decisions
- Weekly milestone demos + change control
- Fast turnaround on blockers and clarifications
- Clear owner per workstream and escalation path
Engagement & Procurement (US)
US-friendly engagement structure: clear SOWs, milestone billing, and invoice cadence that fits typical procurement workflows.
If you need vendor onboarding artefacts, we can provide security posture summaries and delivery process documentation.
- USD invoicing and milestone-based payment schedules
- SOW + scope lock options for fixed-scope work
- Time-and-materials for evolving requirements
- Procurement-ready documentation on request
- Optional paid discovery to de-risk delivery
Security & Quality (US)
We ship with a security-first checklist and performance budgets—so releases stay stable under real traffic.
Expect clean PRs, reviewable changes, and production-ready testing from day one.
- Threat-aware checks for auth, roles, and sensitive data flows
- CI-friendly testing: unit + integration + critical path smoke tests
- Performance budgets (Core Web Vitals-minded) and bundle checks
- Structured logging + error tracking hooks (Sentry-ready)
- Rollback-safe releases and clear release notes
Need answers grounded in your own data?
Send sample docs + target workflows and we’ll recommend the right RAG stack, timeline, and rollout plan.
Citations + measurable quality checks included.