AI Knowledge Base Development for Instant, Accurate Answers

We build AI-powered knowledge bases that answer questions from your documentation and internal content — using retrieval-augmented generation for accurate, grounded responses.

Answers Grounded in Your Actual Documentation, Not Guesses

Generic AI chatbots hallucinate answers not grounded in your actual content. We build AI knowledge bases using retrieval-augmented generation, so answers are grounded in your documentation, support articles, or internal wikis — with sources cited.

Why Choose NIMU for AI Knowledge Bases

Retrieval-Augmented Generation

Answers grounded in your actual content, not model hallucination.

Source Citation

Responses that reference the specific document they were drawn from.

Content Sync

Knowledge base stays current as your source documentation updates.

Semantic Search

Finding relevant content by meaning, not just exact keyword match.

Multi-Channel Deployment

Deployable through web widget, Slack, or your existing support tool.

Access-Controlled Content

Respecting permissions so users only get answers from content they can access.

What We Deliver

A comprehensive suite of capabilities packaged into every engagement.

1

Internal Knowledge Base Assistant

AI assistants for internal teams answering questions from company documentation.

2

Customer-Facing Support Assistant

AI-powered answers from your help centre or product documentation.

3

Document Ingestion Pipeline

Automated pipelines that keep the knowledge base synced with source content.

4

Multi-Channel Deployment

Deploying the assistant through web, Slack, or your existing tools.

Our Delivery Process

A proven, transparent process that keeps your project on time and on budget.

1

Content Audit

Reviewing your documentation and content sources for the knowledge base.

2

Architecture Design

Designing the retrieval and generation pipeline for accurate answers.

3

Development & Testing

Building and validating answer quality against real questions.

4

Deployment & Monitoring

Launching the assistant with ongoing monitoring for answer accuracy.

Frequently Asked Questions

Everything you need to know before getting started.

We use retrieval-augmented generation, which grounds every answer in specific retrieved content from your documentation rather than relying purely on the model's general knowledge.
Yes, we build ingestion pipelines that re-sync the knowledge base as source content is updated, so answers stay current.
Yes, we can design the system to only retrieve and answer from content a given user has permission to access.
We can deploy it as a web widget, within Slack or Microsoft Teams, or integrated into your existing support or documentation platform.
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