Document AI & RAG Knowledge Base
Turn PDFs, contracts, manuals, and websites into a searchable, cited Q&A interface.
Features
5
Tech
14
Steps
5
Document AI & RAG Knowledge Base
Capabilities
What this agent does
Every capability is shipped end-to-end — not a feature flag. You get a working slice on day one and we expand from there.
Feature 01
Wide format support
PDFs, DOCX, PPTX, websites, audio transcripts, images.
Feature 02
Citation-first answers
Every reply links to the exact source paragraph.
Feature 03
Access controls
Per-document permissions, audit log of every query.
Feature 04
Version tracking
Re-ingests on change, knows which version is current.
Feature 05
Structured extraction
Pulls fields from invoices, contracts, forms into JSON.
Stack
14 technologies we use
Production-tested tools chosen for reliability, observability, and developer velocity. Every piece is swappable.
System at a glance
How the agent flows
A simplified view of what comes in, what the agent does with it, and what it produces. Each arrow is observable end-to-end.
Inputs
Agent
Document AI & RAG Knowledge Base
Plan → tool-call → reflect, with approval gates.
Tools the agent calls
Outputs
Engagement
How we roll it out
A 5-step process from kickoff to handover. Every step has a deliverable you can sign off on.
- 01
Source inventory
Audit which docs to index and who can see them.
- 02
Pipeline build
Parse → chunk → embed → store, with versioning.
- 03
Query interface
Web app or Slack bot with citation rendering.
- 04
Permissions + audit
SSO, per-doc ACLs, full query log.
- 05
Continuous ingest
Webhook-driven re-indexing as content changes.
Outcomes
What you can expect
Real numbers we see when Document AI & RAG Knowledge Base ships on top of an actual workflow. Specifics vary with starting baseline, data quality, and scope — but these are the ranges.
Outcome 01
−85%
Lookup time
From minutes searching to seconds answering with citation.
Outcome 02
92-97%
Answer accuracy
Against ground-truth Q&A set, tuned over 6-8 weeks.
Outcome 03
10K+ docs
Source coverage
Per workspace, with permissioning and version awareness.
Sample use cases
What this looks like in practice
Three concrete scenarios where teams deploy Document AI & RAG Knowledge Base today. Your engagement starts with one of these (or your own variant) and expands from there.
Onboarding new hires in 1 week
Engineers ask the bot anything about the codebase, runbooks, or product — answers cite the exact doc + line. Ramp time drops from 3 weeks to under 1.
Legal due-diligence acceleration
A counsel team uploads 200+ contracts. The agent surfaces non-standard clauses, missing indemnities, expiry windows — saves 60+ hours per quarter.
Cross-team policy clarity
HR + Finance answer 'can I do X?' questions from the workforce automatically, with permission-aware retrieval — sensitive policies stay private.
Typical engagement
From kickoff to live in 4-8 weeks
Most Document AI & RAG Knowledge Base engagements follow this shape. We give you a firm quote after a 30-minute scoping call, and the price is fixed up-front so you can budget.
2-3 weeks
Pilot
- Discovery + playbook write-up
- Tool design + guardrails
- Eval suite + sandbox deploy
2-4 weeks
Production
- Hardened deploy on your stack
- Observability dashboard + alerts
- Two-week supervised mode
Ongoing
Handover & support
- Runbook + team training
- Monthly tuning + eval review
- Pause or expand any time
Indicative range
$2,000 — $5,500
Full project, scoped + fixed up-front. Includes pilot, production, and 30 days of post-launch support.
Or hire us by the week
from $750/wk
Embedded retainer — best for evolving scopes.
Also in Knowledge & Research
Related agents
Often deployed alongside — or instead of — Document AI & RAG Knowledge Base.
Internal Knowledge Agent
Slack/Teams bot that answers staff questions from Notion, Confluence, Drive, and SharePoint.
View detailsUser Research Agent
Runs structured interviews or synthesises transcripts into themes, quotes, and product opportunities.
View detailsLegal Research Agent
Case law search, contract summarisation, clause-by-clause risk flagging for law firms and counsel.
View detailsRFP Response Agent
Reads incoming RFPs, drafts answers from your past wins and knowledge base, scores risk per question.
View detailsReady to ship Document AI & RAG Knowledge Base?
Tell us about your data, your tools, and what success looks like. We come back within one business day with a clear plan, price, and timeline.