Chordian Documentation

Welcome to the official documentation for ChordianAI — an AI orchestration platform for enterprise search, company and people intelligence, knowledge graphs, and connector-backed workflows.

This site is organized into two main areas. Use the top navigation to switch between them, or pick a starting point below.

What is ChordianAI?

ChordianAI unifies AI models, multi-agent workflows, and enterprise data sources so teams can search, enrich, research, and reason over their information in one place. The platform includes:

Search workflows — Company and people search with AI-driven criteria, list building, and enrichment
Deep research — Multi-agent research runs with structured outputs
Memory (knowledge graphs) — Department-scoped graphs built from search results, uploads, or connectors
Enterprise search — Chat, connector administration, and document indexing across tools like Google Drive and Notion
MCP server — Expose the same capabilities to Claude, Cursor, and other MCP clients over Streamable HTTP

Production API traffic uses https://chordian-core.chordian.ai. Memory APIs use https://graph-kb.chordian.ai.

Documentation sections

Platform

Architecture, security, deployment models, and how the platform fits into the enterprise. Intended for technical leaders, architects, and security reviewers evaluating ChordianAI.

Topics include: platform layers (Search, Analyze, Optimize, Orchestrate), connectors and integrations, compliance and data residency, deployment options, and industry use cases.

Go to Platform documentation →

Developers

REST API reference, authentication, guides, schemas, and the MCP server. Intended for engineers building integrations and automations.

Topics include: Search APIs (company, people, deep research), Memory APIs, Enterprise Search APIs, MCP tools, Postman collections, and getting-started tutorials.

Go to Developer documentation →