Skip to content
Platform overview

Knowledge & workflows

Give your AI the context to do useful work.

Bring company documents, team conversations and connected tools into the workspace. Manage how knowledge arrives, who can use it and how local models are adapted for specialist tasks.

Explore this part of the platform
01

Connect the source

Configure SMB file shares and target libraries, test access and run incremental synchronisation. Follow document extraction, chunking and embedding, with separate interactive and batch queues.

02

Put context into the workflow

Use document-grounded conversations and team channels with optional AI participation. Connect MCP tools with role restrictions, identity settings and a visible history of tool calls.

03

Adapt and maintain

Preview JSONL datasets in Training Studio, configure LoRA parameters and inspect progress, loss and logs. Schedule runs and manage adapters alongside the model catalogue and hardware requirements.

Explore this part of the platform

Kaldryn Platform · Knowledge & workflows

Interactive software preview · illustrative data

Document Sources

Keep file-server knowledge searchable in chat.

Illustrative data · safe to explore

Sources

3

Documents

1,248

Changed files

24

Sources

Extract
Chunk
Embed
Sample workflow35%

SMB file-server connections

Preview only · no changes to your systems

What this module includes

  • SMB share registration
  • Target document libraries
  • Incremental sync ledger
  • SMB file-server connections
  • Target-library access controls
  • Incremental synchronisation
  • Connection tests and sync cancellation

Based on the Kaldryn Platform admin console. Available features depend on license tier, role, hardware and configuration.

Document access, connectors and training availability depend on configuration, permissions, licence and hardware. Demo content below is illustrative and is not connected to customer documents.

Inside these modules

ModelsChoose, install and operate models on your own infrastructure.Explore capabilities
  • Model library and hardware advisor
  • CPU and GPU deployment
  • Model lifecycle and trust information
  • Search and filter the model catalogue
  • Memory and context requirements
  • Routing defaults by tier
  • Import local model files and GGUF
Training StudioAdapt models to your domain with managed local training workflows.Explore capabilities
  • Dataset upload and preview
  • Local fine-tuning and LoRA adapters
  • Job progress, cancellation and history
  • JSONL dataset preview
  • Learning rate, epochs and LoRA rank
  • Scheduled training windows
  • Loss curves and streamed logs
Document JobsFollow document-processing work from submission to result.Explore capabilities
  • Processing queues and job status
  • Document analysis workflows
  • Failure details and job history
  • Interactive and batch priorities
  • Filter by library and time range
  • Chunk counts and live progress
  • Retry failed processing jobs
Document SourcesKeep file-server knowledge searchable in chat.Explore capabilities
  • SMB share registration
  • Target document libraries
  • Incremental sync ledger
  • SMB file-server connections
  • Target-library access controls
  • Incremental synchronisation
  • Connection tests and sync cancellation
Team ChannelsBring shared AI conversations into your organisation.Explore capabilities
  • Team membership
  • Shared channels
  • Administrative channel management
  • Private and shared channels
  • Enable or disable channel AI
  • Membership administration
  • Channel archival
ConnectorsConnect internal systems through a governed MCP tool layer.Explore capabilities
  • Connector registration and health
  • Per-user identity mappings
  • Tool-call audit and DLP controls
  • Inspect available MCP tools
  • Latency and connection tests
  • Per-user downstream credentials
  • DLP, rate-limit and timeout outcomes

Discuss your deployment

Discuss your deployment