Context Development Platform
2.0k 2026-04-20
trustgraph-ai/trustgraph
A graph-native platform for storing, enriching, and retrieving structured knowledge to power AI applications and intelligent agents.
Core Features
Multi-model and multimodal database supporting tabular, document, graph, vector, and media data.
Automated data ingest with semantic similarity and ontology structuring for precision retrieval.
Out-of-the-box RAG pipelines including DocumentRAG, GraphRAG, and OntologyRAG.
Fully agentic system support for single, multi-agent, and MCP integrations.
Flexible deployment (Docker/Kubernetes) and broad LLM integration without unnecessary API keys.
Quick Start
npx @trustgraph/configDetailed Introduction
TrustGraph is a comprehensive context development platform designed to address the complex data needs of AI applications. It provides graph-native infrastructure for storing, enriching, and retrieving structured knowledge at scale, akin to a 'Supabase for context graphs'. The platform features a multi-model database, automated data ingestion, and pre-built RAG pipelines. It supports various LLMs and agentic systems, offering a robust toolkit for developers to build intelligent applications that require deep contextual understanding, deployable both locally and in the cloud.