$ geist init --rag --semantic-search
initializing knowledge infrastructure...
success: platform deployed in 3.2s
White-label RAG platform. Semantic search, document ingestion, and conversational AI. Deploy your own knowledge system in days, not months.
// powers these products
// everything you need to build production AI systems
geist.ingest()stablePDF, DOCX, HTML, Markdown. Automatic chunking, embedding generation, and indexing.
geist.search()stableHybrid search with vector + keyword ranking. Sub-100ms latency at scale.
geist.chat()stableConversational AI with citation tracking. Stream responses with source attribution.
geist.sync()betaGoogle Drive, Confluence, Notion, SharePoint. Real-time sync and updates.
geist.auth()stableSAML, OAuth, OIDC. Role-based access control. Document-level permissions.
geist.api()stableFull API access. Python and TypeScript SDKs. Webhooks for events.
// production-ready AI agents with domain-specific tools
agent.goal()AI-powered goal planning, tracking, and achievement support with intelligent breakdown of objectives.
agent.contact()Intelligent contact and relationship management with interaction tracking and smart suggestions.
agent.surgery()Generate AI-powered surgical reconstruction recommendations with evidence-based rationales.
agent.image()Analyze surgical defect images for measurements, tissue quality, and technique suggestions.
Built for scale from day one. Multi-tenant by design. Deploy on your infrastructure or ours.
services:
geist-api:
image: geist/platform:latest
environment:
- EMBEDDING_MODEL=bge-m3
- LLM_PROVIDER=anthropic
- VECTOR_DB=pgvector
ports:
- "8080:8080"
postgres:
image: pgvector/pgvector:pg16
volumes:
- ./data:/var/lib/postgresql
redis:
image: valkey/valkey:7// no per-seat fees. scale as you grow.
// see geist platform in action