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AI Knowledge Platform

An AI Knowledge Platform is the system that turns your documents and sites into retrievable, citable memory for assistants. In Qefro it is workspace-scoped: each AI Workspace has its own index so Support FAQs never silently merge with HR policy.

Short definition (citation-ready)

An AI Knowledge Platform ingests files and web content, chunks and indexes them (often with hybrid lexical + vector retrieval), and returns grounded passages so assistants can answer with citations inside an isolation boundary such as a workspace.

What it includes

CapabilityRole
IngestUploads, crawl jobs, OCR for scans/images
IndexChunking, embeddings, lexical indexes
RetrieveHybrid search at question time (Hybrid RAG)
CitePoint answers back to source passages
IsolatePer-workspace corpora inside a tenant
GovernDelete/re-ingest, access via RBAC on Employee AI

Architecture

Input

Sources

PDFs, docs, sites, and OCR-extracted text approved for that workspace.

Index

Workspace memory

Chunks stay inside the workspace boundary.

Output

Cited answers

Assistants ground replies in retrieved passages.

Knowledge Platform vs “upload a PDF to a chatbot”

Chatbot uploadAI Knowledge Platform
Convenient for demosBuilt for ongoing ingest and re-index
Often one shared pileWorkspace (and tenant) isolation
Citations optionalCitations as a product expectation
Weak ops storyAPIs, jobs, delete/replace, monitoring

How Qefro implements it

  • Product page: Knowledge Platform
  • Upload / manage via Admin Console and POST /api/v1/documents on api.qefro.com
  • Retrieval powers Customer AI (widget, WhatsApp) and Employee AI (Internal Portal)
  • Isolation ties to Organizations and workspaces

Workflow

Build a trustworthy knowledge workspace

  1. Choose the audienceCustomer-safe vs internal-only corpus.
  2. Ingest deliberatelyPrefer canonical docs over stale wiki dumps.
  3. Test questionsCheck citations and refusal on unknown topics.
  4. Refresh cadenceRe-crawl or replace files when policy changes.
  5. Then add toolsKnowledge first; Business Actions second.

Best practices

  • Separate corpora by audience (Customer AI vs Employee AI).
  • Prefer fewer high-quality sources over noisy crawl-everything.
  • Verify OCR quality for scans before relying on answers.
  • Treat deletion and retention as security requirements, not afterthoughts.

FAQ

Is the Knowledge Platform the same as Hybrid RAG?
Hybrid RAG is the retrieval technique. The Knowledge Platform is the product system: ingest, index, isolate, retrieve, and cite.
Can two workspaces share documents?
They do not share indexes by default. Upload or crawl into each workspace that needs the content.
Does knowledge work without Business Actions?
Yes. Many deployments are knowledge-only until API tools are ready.