GroveAI
Knowledge Base

AI Knowledge Base

Give your team instant, accurate answers from your own documentation. Internal knowledge bases powered by retrieval-augmented generation.

An AI Knowledge Base uses retrieval-augmented generation (RAG) to make your internal documentation, policies, procedures, and institutional knowledge instantly searchable and queryable in natural language. Instead of digging through SharePoint folders, Confluence pages, or shared drives, your team simply asks a question and gets an accurate, sourced answer in seconds. We ingest your existing content, build a vector search index, and connect it to a conversational interface. Every answer includes source citations so users can verify and explore further.

Use Cases

What this looks like in practice

Employee Self-Service

HR policies, IT procedures, expense rules, and onboarding guides available instantly via natural language queries. Reduce internal support tickets by up to 70%.

Technical Documentation

Make engineering docs, API references, runbooks, and architecture decisions searchable. New team members get up to speed faster with AI-powered documentation.

Sales Enablement

Instant access to product specs, pricing guidelines, competitive intelligence, and case studies. Equip your sales team with the right information at the right time.

Customer Support Knowledge

Power your support team with AI-assisted search across help articles, troubleshooting guides, and historical ticket resolutions. Faster, more consistent answers.

Compliance & Policy

Make regulatory requirements, internal policies, and compliance procedures instantly queryable. Ensure your team always has access to current, authoritative guidance.

Project & Institutional Memory

Capture and retrieve lessons learned, decision rationale, meeting notes, and project history. Stop losing knowledge when people change roles or leave.

Technology

Tools we work with

RAG PipelinesVector DatabasesPineconeWeaviateQdrantAnthropic ClaudeOpenAI EmbeddingsLangChainLlamaIndexPythonTypeScriptSharePointConfluenceNotionGoogle Drive

How It Works

Our approach

01

Content Audit

Identify and catalogue your existing knowledge sources and document types

02

Ingestion Pipeline

Build automated pipelines to parse, chunk, embed, and index your content

03

Search & Retrieval

Configure vector search with hybrid retrieval for accuracy and relevance

04

Conversational Interface

Build a chat interface with source citations and feedback mechanisms

05

Deploy & Maintain

Production deployment with automated content sync and quality monitoring

Starting from

£12K

Timeline

2-4 weeks

Ready to get started?

Book a free strategy call and we'll assess whether this service is the right fit for your business.