| What it does | Open source multimodal semantic search framework
| Knowledge graphs built and kept up to date automatically
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Not given
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| Key features | - Vector search
- Object storage for media files
- Asynchronous background jobs
- Built-in AI models
- Auto-scaling infrastructure
- Multimodal support for text, image, video, and audio
- MongoDB-compatible document database
- Automatic data processing pipeline
- Async data processing
- Monitoring and observability
| - Automatic extraction and modeling from documents and system exports
- Source attribution on every fact with supporting text and confidence values
- EU-hosted or on-premises deployment
- Multi-hop query support for complex relationships
- RDF-based ontology with OWL 2 RL profile
- API and MCP access for AI agents
- Continuous graph updates and duplicate resolution
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| What makes it different | - Zero configuration setup - install and initialize in one minute with pip
- Built on proven enterprise infrastructure used by millions of applications
- Seamless scaling without code changes
- Full MongoDB ecosystem compatibility with AI capabilities
| - Sourced, auditable facts for AI agents and people to verify before use
- Handles multi-hop questions and audit trails better than RAG alone
- Automatic infrastructure for knowledge graph building without manual pipeline setup
- Persistent knowledge graph with standard RDF/OWL exports for interoperability
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 3 ▼ −1 (down) since last check | 2 ● no change since last check |
| Trust Flow (Majestic) | 11 | 6 |
| Citation Flow (Majestic) | 23 | 15 |
| Referring domains (Majestic) | 55 | 7 |