Internal knowledge
Help employees find policies, processes, and institutional knowledge across approved documents.
Custom knowledge systems
Bring the knowledge across your business into reach. Give your team an AI assistant that finds relevant information and shows where its answers come from.
From source documents to a working system, with retrieval, evaluation, and deployment shaped around your workflow.
Custom build · Scope and pricing agreed after discovery
What does a new customer need before onboarding?
Assign an account owner, confirm the implementation goals, and collect the technical requirements.
Example content, not a live product demonstration.
From documents to a working system
A useful knowledge assistant needs a dependable path from source material to an answer people can check. We scope that entire path together.
Choose the documents and repositories that matter. Plan ingestion, content structure, metadata, and updates.
Design search and ranking around real questions. Preserve source links and apply the access rules your workflow requires.
Build an interface or API with source citations and a clear response when the available evidence is insufficient.
Evaluate retrieval, answer quality, latency, and cost. Hand over the checks and documentation needed to operate the system.
Built around a real workflow
Focus the first version on a useful, measurable problem. Expand after you understand where it helps and where it falls short.
Help employees find policies, processes, and institutional knowledge across approved documents.
Give support teams a way to draft answers from product documentation and review the sources before responding.
Search technical material, compare passages, and bring relevant evidence into recurring decisions.
A scoped engagement
We agree on integrations, hosting, ownership, and support before implementation. Model and infrastructure costs are part of that conversation.
Plan your buildBefore we build
Already have a system or want an independent technical review? Explore RAG consulting →
This offering is a custom system engagement. We define the sources, features, deployment, pricing, and support around your needs before work begins.
We’ll assess your current infrastructure, model providers, search tools, and security requirements, then choose integrations that fit the use case.
No system can promise that. Retrieval, citations, evaluation, and fallback behavior help make errors easier to detect and manage. High-impact answers should have an appropriate review process.
Pricing depends on the sources, integrations, interface, evaluation, and deployment requirements. Start with an inquiry and we’ll work toward a defined scope and quote.
Experience behind the work
Led by Christopher Peters, former Principal Data Scientist at Zapier and Chief Scientist at Touch AI, the practice brings together applied statistics, engineering, and product experience to build and evaluate useful knowledge systems.
About the practiceRAG systems / Start a conversation
Share a little about your users, your source material, and the answers they need. We’ll shape the scope around your business.
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