Custom RAG assistant build
End-to-end build from data ingestion and embeddings to a branded chat interface you own.
AI Knowledge Assistant · AI-First · Results-Driven
AI Knowledge Assistants,Grounded in Your Data
Short answer: An AI knowledge assistant answers questions using your own documents—policies, manuals, wikis, past tickets—so staff or customers get accurate answers in seconds instead of digging through files. It works by retrieving the relevant passages from your content and having the model answer from those, which keeps responses grounded and citable rather than made up. The value is instant, trustworthy access to what your company already knows, without the hunt.
An AI That Actually Knows Your Business
An AI knowledge assistant is a chat interface built to answer from your organization's own information rather than the open internet. The technique behind it—retrieval-augmented generation, or RAG—first finds the most relevant chunks of your documents, then asks the model to answer using only those, often with citations back to the source. That grounding is what makes it reliable for internal support, onboarding, and customer help, where a confidently wrong answer is worse than none.
Quality depends less on the model and more on the retrieval: how documents are chunked, how they're searched, and how fresh the index stays. A good build keeps answers tied to sources so users can verify, respects permissions so people only see what they're allowed to, and re-indexes as your content changes. The common pitfalls are stale data, messy source files, and letting the assistant guess when retrieval comes back empty instead of saying it doesn't know.
We build the assistant on your actual knowledge base with citations and permission controls baked in, and we keep the index in sync with your documents—so the answers stay current and you can always see where each one came from.
What we build
What Your AI Knowledge Assistant Can Do
IT & HR self-service
Deflect repetitive help-desk questions with instant answers pulled from your internal wiki and policies.
Learn more →Policy & SOP answers
Staff get grounded, cited responses from handbooks, compliance docs and standard operating procedures.
Learn more →Product & technical docs
Turn dense product manuals, runbooks and specs into a searchable assistant your team actually uses.
Learn more →Support agent assist
Draft replies from past tickets and your knowledge base so agents resolve cases faster.
Learn more →Sales & onboarding enablement
New hires and reps find the right answer, deck or spec without pinging a colleague.
Learn more →Structured data lookups
Ask questions across databases and spreadsheets, not just documents, for the numbers on demand.
Learn more →Services
AI Knowledge Assistant Development Services
Full-cycle AI knowledge assistant development services — from a focused pilot on one knowledge base to a secured, scalable assistant serving your whole company.
Pilot & proof of concept
Prove value on one knowledge base in weeks, then expand across teams and sources.
Data ingestion & integrations
Connect Google Drive, SharePoint, Notion, Confluence, help desks, databases and APIs as live sources.
Retrieval & accuracy tuning
Chunking, reranking and evaluation harnesses that cut hallucinations and keep every answer cited.
Security, access & guardrails
Role-based permissions, PII handling and private or on-prem hosting to keep data in your control.
Deployment, monitoring & support
Ship to Slack, Teams or web, track usage and deflection, and keep improving with a care plan.
Technology
Our RAG & Knowledge Assistant Stack
The exact toolset depends on your goals — these are the platforms we use most, and we work with whatever your team already relies on.
LLMs & Reasoning
RAG Orchestration
Embeddings & Reranking
Ingestion & Parsing
Evaluation & Guardrails
Chosen per project — not a fixed menu. Have a preferred tool or platform? We’ll work with it.
Built to last
Secure, Private & Reliable
Your data stays yours — we deploy on your infrastructure or a private cloud, with access controls, encryption and no training on your data by default. Sensitive workflows keep a human in the loop.
Every agent and automation ships with monitoring, guardrails and fallbacks, so it behaves predictably in production and you can trust it with real work.
Who we build for
Industries We Automate
20+ years across sectors — in Houston and internationally.
Transparent pricing
Estimate your project in seconds
Pick what you’re building for an indicative range, then request an exact quote. No email wall.
Simple prices for typical tasks
- RAG pilotfrom $8k
- Production assistantfrom $16k
- Enterprisefrom $30k
- Care planfrom $1.5k/mo
Proof
700+ projects, 20+ years
See the products and growth work we’ve shipped across industries — and request a case study relevant to yours.
How we work
Fixed scope. Sprints. Working software.
- 01
Scope & fixed estimate
A short discovery call turns your idea into a clear spec and a firm range — free.
- 02
Design & architecture
UX, data model and stack chosen for your scale, not ours.
- 03
Build in sprints
Working software every 1–2 weeks — you see progress, not promises.
- 04
Launch & scale
We ship, measure and keep improving with care plans.
FAQ
AI Knowledge Assistant questions
What is an AI knowledge assistant?
It is an internal chat assistant that answers staff questions from your own knowledge — policies, SOPs, product docs, past tickets and databases — using retrieval-augmented generation (RAG). It retrieves the most relevant passages from your content and generates a grounded answer with citations, so people self-serve instead of interrupting a colleague.
How much does an AI knowledge assistant cost?
Most internal AI knowledge assistants land between about $12,000 for a focused pilot and $60,000+ for a secured, company-wide deployment across many sources. Final cost depends on the number of data sources, integrations and access rules — book a call for a firm quote.
How long does it take to build?
A working pilot on one knowledge base typically ships in 3–6 weeks. A broader rollout across multiple sources, with access controls and integrations, usually runs 2–4 months. We work in short sprints so you test real answers early and often.
How do you keep answers accurate and prevent hallucinations?
We ground every answer in your own content with RAG, return citations so staff can verify the source, and add guardrails that say 'I don't know' rather than guess. We tune retrieval and run evaluations against real questions to hold accuracy high as your content grows.
Is our data secure, and where does it live?
Your data stays in your control. We support private and on-premise hosting, encrypt data in transit and at rest, and enforce role-based access so the assistant only surfaces what a given user is allowed to see. We can keep everything inside your own cloud tenancy.
What data sources can the assistant connect to?
Common sources include Google Drive, SharePoint, Notion, Confluence, help desks, wikis, PDFs and SQL databases. If it holds knowledge and has an API or export, we can usually connect it as a live, always-current source.
What is RAG, and why not just fine-tune a model?
Retrieval-augmented generation (RAG) fetches the most relevant passages from your documents and hands them to the model as context, so answers reflect your current, private data with citations. Fine-tuning bakes patterns into a model but is costly to update and can still invent facts — for internal knowledge, RAG is faster, cheaper and easier to keep accurate.
Can staff use it in Slack or Microsoft Teams?
Yes. We deploy the assistant where your team already works — Slack, Microsoft Teams, or an embedded web widget and internal portal — with single sign-on so staff self-serve without leaving their workflow.
Do you build AI knowledge assistants outside Houston?
Yes. We are based in Houston, TX and have delivered 700+ projects internationally over 20+ years. We build and support AI knowledge assistants for teams nationwide and worldwide, working securely with remote and in-house teams alike.
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