llms.txt Content
# TrustGraph - The context development platform
Building applications that need to know things requires more than a database. TrustGraph is the context development platform: graph-native infrastructure for storing, enriching, and retrieving structured knowledge at any scale. Think like Supabase but built around context graphs: multi-model storage, semantic retrieval pipelines, portable context cores, and a full developer toolkit out of the box. Deploy locally or in the cloud. No unnecessary API keys. Just context, engineered.
Free • Open Source • Apache 2.0
The platform:
- Multi-model and multimodal database system
- Tabular/relational, key-value
- Document, graph, and vectors
- Images, video, and audio
- Automated data ingest and loading
- Quick ingest with semantic similarity retrieval
- Ontology structuring for precision retrieval
- Out-of-the-box RAG pipelines
- DocumentRAG
- GraphRAG
- OntologyRAG
- 3D GraphViz for exploring context
- Fully Agentic System
- Single Agent
- Multi Agent
- MCP integration
- Run anywhere
- Deploy locally with Docker
- Deploy in cloud with Kubernetes
- Support for all major LLMs
- API support for Anthropic, Cohere, Gemini, Mistral, OpenAI, and others
- Model inferencing with vLLM, Ollama, TGI, LM Studio, and Llamafiles
- Developer friendly
- REST API Docs: https://docs.trustgraph.ai/reference/apis/rest.html
- Websocket API Docs: https://docs.trustgraph.ai/reference/apis/websocket.html
- Python API Docs: https://docs.trustgraph.ai/reference/apis/python
- CLI Docs: https://docs.trustgraph.ai/reference/cli/
## About TrustGraph
- Graph-native infrastructure for storing, enriching, and retrieving structured knowledge at any scale
- Multi-model storage, semantic retrieval pipelines, portable context cores
- Deploy locally or in the cloud — no unnecessary API keys
- Full developer toolkit out of the box
## Official Resources
- Website: https://trustgraph.ai
- Docu