BUILT IN RUST

The Graph-Vector Database for AI Memory

BUILT IN RUST

Knowledge graphs, vectors, temporal & full-text search in one engine — for agents, RAG, and company brains. Build memory yourself, or build your memory product on top of it.

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DEPLOYED IN PRODUCTION WITH

Orbit

AI Memory

Persistent, queryable memory for agents — relationships, semantics, and recency in one store.

▸Knowledge-graph memory of entities, threads, and episodic timelines
▸Vector recall of past facts and decisions, per user or per tenant
▸Build memory yourself, or build your memory product on top of it

GraphRAG

Retrieval that combines graph traversal with vector search for grounded, connected context.

▸Traverse relationships instead of returning disconnected chunks
▸Rank by semantic relevance and full-text in the same query
▸Lower latency — no stitching a vector DB to a graph DB

Company Brain

One queryable source of truth across every document, person, tool, and decision.

▸Connect org structure, docs, and projects as a graph
▸Semantic and full-text search over all company knowledge
▸Agents traverse sub-graphs and tenants with permissions intact

Knowledge Graphs

Model entities and relationships natively — query structure and meaning together.

▸First-class nodes, edges, and properties
▸Temporal awareness of when facts changed
▸Type-safe traversals in Rust, Go, TypeScript & Python

HELIX CLOUD

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      ║                         Gateway                       ║░
      ╚═══╦═══════════════╤═══════════════╤═══════════════╤═══╝░
        ░░║░░░░░░░░░░░░░░░│░░░░░░░░░░░░░░░│░░░░░░░░░░░░░░░¦░░░░░
          ║               │               │               ¦
          ║               │               │               ¦
    ╔═════╩═════╗   ┌─────▼─────┐   ┌─────▼─────┐   ┌ ─ ─ ▼ ─ ─ ┐
    ║  Writer   ║   │   Reader  │   │   Reader  │   ¦           ¦
    ║ ┏━━━━━━━┓ ║   │ ┌───────┐ │   │ ┌───────┐ │   ¦           ¦
    ║ ┃ Cache ┃ ║   │ │ Cache │ │   │ │ Cache │ │   ¦    ...    ¦
    ║ ┃  SSD  ┃ ║   │ │  SSD  │ │   │ │  SSD  │ │   ¦           ¦
    ║ ┗━━━━━━━┛ ║   │ └───────┘ │   │ └───────┘ │   ¦           ¦
    ╚═════╦═════╝   └─────┬─────┘   └─────┬─────┘   └ ─ ─ ┬ ─ ─ ┘
          ║               │               │               ¦
          ║               │               │               ¦
          ║               │               │               ¦
╔═════════╩═══════════════╧═══════════════╧═══════════════╧═════════╗
║ ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ ║
║ ░░░░░░░░░░░░░░░░░░░░░░░░  Object Storage  ░░░░░░░░░░░░░░░░░░░░░░░ ║
║ ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ ║
╚═══════════════════════════════════════════════════════════════════╝

Helix Cloud

▸Built on object storage — handles any volume of graph and vector data at the most affordable price on the market.
▸High availability — use at least 3 gateways and 3 DB nodes for high availability. Smaller clusters run in Dev mode and are useful for testing, but are not recommended for production.
▸Auto-scales on demand — reader nodes scale up under load and scale back down when demand drops, so you only pay for what you need
▸Robustness — the gateway bufferes requests meaning db failures don't cause errors

AI agents can view our pricing on the pricing.md page.

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