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 (Canada)
For Canadian teams, we focus on practical privacy and security: least-privilege access, clear boundaries, and reviewable operational controls.
We can align implementation with SOC 2 / ISO-friendly practices (without claiming certification) and support documented data flows.
- SOC 2 / ISO-friendly patterns (no certification claims)
- Least-privilege access and secure session handling
- Retention/deletion and export flows where required
- PII-safe logging + access boundary documentation
- NDA and vendor onboarding docs on request
Timezone & Collaboration (North America)
We work with Canadian teams with North America overlap and meeting windows that fit your schedule.
Delivery stays predictable via weekly milestones, async updates, and clearly documented decisions.
- North America overlap and responsive communication
- Async-first updates with written scope decisions
- Weekly milestone demos and progress checkpoints
- Clear escalation path for blockers
- Tight change control with clear sign-offs
Engagement & Procurement (Canada)
We support procurement-friendly delivery: clear scope, change control, and billing cadence aligned to milestones when appropriate.
We can invoice in CAD for CAD-based engagements where required.
- CAD-based engagements and invoicing options
- Milestone-based billing and scope sign-offs
- Time-and-materials for evolving requirements
- Vendor onboarding pack on request
- Optional paid discovery to de-risk delivery
Security & Quality (North America)
We keep quality visible: clean PRs, reviewable changes, and test coverage that matches the risk of each feature.
Performance budgets and release discipline help maintain stability as the product scales.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks
- Structured release notes + rollback-safe deployments
- Security checklist for auth, roles, and data flows
- Observability hooks (logs + error tracking) ready for production
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.