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On the recordRead 8 Oct 202617 facts
InfoLibrarian Knowledge Graph Engine
Sarasota, Florida, USA
Plans and prices
Platform IP license
Priced on request
Commercial license; runs in your environment or cloud; contact for licensing
Read 8 Oct 2026 · infolibcorp.com
On the record
- Commercial availability
- The engine is commercial intellectual property available by license, rather than a public self-serve product store.infolibcorp.com · read 8 Oct 2026
- Corpus hygiene
- Ingestion includes hashing, deduplication, near-duplicate detection, version and lineage tracking, and provenance for graph nodes.infolibcorp.com · read 8 Oct 2026
- Deployment and data control
- The stack can run air-gapped or in the cloud; the maker says processing and inference can stay inside the firewall with no third-party model inference.infolibcorp.com · read 8 Oct 2026
- Document ingestion
- It reads presentations, documents, PDFs, spreadsheets, diagrams and audio, preserving table relationships and diagram structure.infolibcorp.com · read 8 Oct 2026
- Integration options
- The platform page names Anthropic, OpenAI, Hugging Face, Ollama, Azure OpenAI, private and on-prem endpoints, and other approved hosts as model options.infolibcorp.com · read 8 Oct 2026
- Intended users
- The maker describes the best fit as teams with accumulated document sprawl that need reliable agent context or a data-product foundation, starting with one subject area.infolibcorp.com · read 8 Oct 2026
- Interfaces
- The engine provides a command line, programmable API, MCP server and interactive interface for question answering and inspection.infolibcorp.com · read 8 Oct 2026
- Limitations
- The maker says it is not intended as a massive-scale enterprise-wide operational decision platform and describes its ecosystem as small and governance as fit for purpose rather than a formal operating model.infolibcorp.com · read 8 Oct 2026
- Maker and location
- The company describes InfoLibrarian as Brian Brewer’s company and portfolio; its license announcement is datelined Sarasota, Florida.infolibcorp.com · read 8 Oct 2026
- Measurement
- Answers are asynchronously scored for faithfulness, relevancy, contextual precision and contextual recall, with benchmarks per subject area.infolibcorp.com · read 8 Oct 2026
- Models and infrastructure
- It uses a native property graph database and local open-weight models served through Ollama, and is containerized and self-hostable without a managed-service dependency.infolibcorp.com · read 8 Oct 2026
- Ontology
- Users can define and extend node types, relationship types and properties, with extraction constrained to the governed ontology or run schema-free.infolibcorp.com · read 8 Oct 2026
- Purpose
- The engine turns structured and unstructured enterprise metadata into a governed knowledge graph for retrievable, traceable, measurable context.infolibcorp.com · read 8 Oct 2026
- Retrieval
- Retrieval offers hybrid vector and keyword search, reranking, entity expansion, graph traversal and an explicit deterministic or hybrid mode.infolibcorp.com · read 8 Oct 2026
- Structured sources
- Declarative mappings support CSV, Excel, JSON and XML, alongside enterprise data models, catalogs, process models and organizational structures.infolibcorp.com · read 8 Oct 2026