Mindbreeze InSpire

https://www.mindbreeze.com

Hybrid keyword + vector retrieval with entitlement-aware filtering. Unified enterprise knowledge graph linking documents, tickets, records. RAG prompt orchestration built in.

Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 40 cited facts, 2 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T2
Created
2005 third-party fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Pricing
Enterprise only vendor fix
Freshness
2026-10-27 fix
Layer
agent-infra repo fix
Licensing
commercial vendor fix
Deployment locus
hybrid vendor fix
Platform vs product
both vendor fix

When to use

Optimised for: enterprise connectors + entitlements + governance + RAG-grounding

Anti-fit: not for SMB / consumer use cases

Pros & cons

Pros

Long-running European enterprise search with strong governance and connector library.

Cons

European-market focus; smaller mind-share than Glean in North America.

Claims & capabilities

IDC MarketScape Leader 2025.

Technical surface

API surface
REST, SDK: Java, JS
Backend storage
custom
Deployment
Both
Embedding model
locked
Multi-tenancy
hard-isolation
MCP
yes — Mindbreeze Model Context Protocol Server (permission-aware enterprise context for AI assistants and agents)
A2A
no Google A2A (Agent2Agent) integration documented as of 2026-05.
OpenTelemetry
no first-party OpenTelemetry exporter documented; standard logs/metrics typically available.

Similar systems

Other enterprise-search adjacencies in the catalog, ranked by inbound references.

  • Glean T1

    Enterprise search with 100+ connectors. Personalised per-user knowledge graph. No governance layer.

  • Clarivate T1

    Bibliographic metadata curation (Web of Science, Derwent, Cortellis). Human editorial governance + journal-deindexing. Memory-adjacent — included as a curated-knowledge baseline.

  • Coveo T1

    RAG-as-a-Service for AWS (Dec 2025) via hosted MCP server grounding Amazon Bedrock agents in enterprise knowledge. Passage retrieval + answer generation + ranked search + fetch in one API.

  • Lucidworks Conversational Q&A AI Agent T1

    Enterprise Q&A agent powered by Luci patent-pending ultra-precise RAG. Embeds on product detail pages; consumes technical PDFs, spec sheets, images, tables, charts, graphs and product manuals. Maintains session history for multi-turn follow-ups; refuses out-of-scope queries via prompt-injection guard.

  • Meilisearch T2

    Semantic + hybrid search GA (2025). Automatic embedding generation + caching via OpenAI / HuggingFace / Ollama. Multi-modal (text + images); hybrid rank fusion; conversational RAG built in.

  • SearchUnify T1

    Agentic enterprise search with Knowbler — quality checks via the KCS (Knowledge-Centered Service) standard. Most explicit governance features in the segment.

Sources (39 cited facts, 2 third-party)

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What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-27
    • MCP support first recorded as “yes — Mindbreeze Model Context Protocol Server (permission-aware enterprise context for AI assistants and agents)” source
    #274