Get knowledge in. Keep it current.

Upload documents, sync URLs, or point to endpoints. Content is indexed on arrival and tracked as it changes.

Platform

Knowledge operations for real, living content

  • Convert files, URLs, and text into searchable data.
  • Add new content quickly, without extra coding.
  • Ensure indexes and search results stay accurate as content and models update.

What faster knowledge operations look like

Keep content up to date without turning each update into a development project.

01

How content is managed and updated

  • Add documents and links to Knowledge².
  • Content updates automatically when the source changes.
  • Changes are reflected immediately in the workflow.
Document list showing managed content with status indicators
02

Easy updates

  • Track the progress of updates.
  • Avoid repeating work during updates.
  • Keep content organized as it changes.
Jobs dashboard with ingestion and indexing status tracking
03

Syncing with other processes

  • Keep content, models, and deployments updated together.
  • Ensure teams don’t redo work when content changes.
  • Move smoothly from testing to production.
Pipeline canvas showing corpus, agent, and feed workflow

What this looks like in a product

Content is searchable as soon as it’s added

Operations teams can trust the product to contain all new information without engineering help.

  • New content appears in search immediately.
  • No manual updates or refreshes needed.
  • Updates stay consistent as files and URLs change.

Example user experience

A new policy appears in search the same day it’s published.

Content updates continue running in the background.

Question

How much parental leave do contractors receive?

Updated result

Contractors now receive six weeks of parental leave. Both the updated handbook section and policy page are included in the result.

  • Source synced from: handbook.pdf
  • Source synced from: /policies/leave
  • Corpus refreshed: 14 minutes ago

Implemented with the Knowledge² Python SDK

Keep the implementation surface small

Python SDK example

Python
from sdk import Knowledge2k2 = Knowledge2(api_key="k2_...")k2.upload_files_batch( "corp_people_ops", files=[("handbook.pdf", handbook_bytes)],)k2.ingest_urls( "corp_people_ops", urls=["https://intranet.example.com/policies/leave"],)job = k2.build_indexes("corp_people_ops")

Illustrative indexing response

JSON
{ "job_id": "job_idx_74b6", "status": "queued", "documents_received": 12, "source_count": 2}
  • Cited evidence on every answer
  • Tenant-scoped access controls
  • Audit logging
  • VPC / on-prem deployment
  • SOC 2 readiness

Customer results

31.8% cost reduction per turn. 43-75% less retrieval context.

~$80Kmodeled annual savingsElevataFinancial services