Build AI experiences on your own data

Telygent lets you orchestrate AI workflows against your database, with a client SDK for tooling and history, an orchestration layer, and a UI SDK for chat experiences. Use these docs to plan your onboarding, ship your first integration, and expand into streaming, tools, and visualizations.

Get Started

Install the SDK, define your registry, and send your first request.

SDK

Install the SDK, store history in Redis, and run Mongo tools locally.

Registry & Tools

Define allowed fields, required filters, and custom services for AI tool calls.

UI SDK

Ship chat UI with adapters, streaming support, and markdown rendering.

Core building blocks

AI SDK with Redis history + Mongo tools
Orchestration service for planning and responses
Registry hash to version your data model
Streaming phases for progress updates
UI SDK with adapter-based chat

What you own

API keys and account configuration
Database adapters and custom tools
Conversation history (Redis)
Frontend UI and routing

What Telygent handles

AI orchestration and prompting
Usage enforcement and limits
Registry validation and policy
Model provider routing

Recommended learning path

Follow Get Started to send your first request.
Implement the SDK and registry to unlock tool calls.
Add streaming and UI SDK for production chat flows.
Review credentials, usage, and billing guidance for rollout.